Deck 11: Analysis of Variance and Design of Experiments

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Question
The F value for treatment will always increase if we include a blocking effect.
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Question
In an experimental design, classification variables are independent variables.
Question
The statistical methods of analysis of variance assume that the populations are normally distributed.
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In an experimental design, a characteristic of the subjects that was present prior to the experiment and is not the result of the experimenter's manipulations or control is called a classification variable.
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Interaction effects in a factorial design can be analyzed in randomized block design.
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An experimental design where two or more treatments are considered simultaneously is called a factorial design.
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In analysis of variance tests an F distribution forms the basis for making the decisions.
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Determining the table value for the F distribution requires two values for degrees of freedom.
Question
In a randomized complete block design the conclusion might be that blocking is not necessary.
Question
A pet adoption agency is considering the probability of a pet being adopted when considering its age and its size.A factorial design can help the agency consider the interaction effects between adoption and size.
Question
A completely randomized design has been analyzed by using a one-way ANOVA.There are three treatment groups in the design, and each sample size is four.The mean for group 1 is 25.00 and for group 3 it is 27.50.MSE is 3.19.Using α=0.05 there is a significant difference between these two groups.
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The Tukey-Kramer procedure is based on construction of confidence intervals for each pair of treatment means at a time.
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Analysis of variance may be used to test the differences in the means of more than two independent populations.
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An experimental design contains only independent variables.
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If 5 groups are tested two at a time, the total number of paired comparisons is 9.
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A completely randomized design has been analyzed by using a one-way ANOVA.There are three treatment groups in the design, and each sample size is four.The mean for group 1 is 23.50 and for group 3 it is 27.50.MSE is 3.19.Using α=0.05 there is a significant difference between these two groups.
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In an experimental design, treatment variables are response variables.
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In an experimental design, a variable that the experimenter controls or modifies in the experiment is called a treatment variable.
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The statistical methods of analysis of variance assume equal sample means.
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The Tukey-Kramer procedure allows us to simultaneously examine all pairs of population means after the ANOVA test has been completed without increasing the true α level.
Question
Medical Wonders is a specialized interior design company focused on healing artwork.The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay.Her current client is a children's cancer hospital.Kathleen is interested in determining the effect of three different pieces of healing artwork on children.She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene)and randomly assigns six hospital rooms to each painting.Analysis of Kathleen's data yielded the following ANOVA table.  Source of Variation  SS  df  MS  F  Treatment 33476.19216738.19.457912 Error 26546.18151769.745 Total 60022.3717\begin{array} { | l | r | r | r | r | } \hline \text { Source of Variation } & { \text { SS } } & { \text { df } } & { \text { MS } } & { \text { F } } \\\hline \text { Treatment } & 33476.19 & 2 & 16738.1 & 9.457912 \\\hline \text { Error } & 26546.18 & 15 & 1769.745 & \\\hline \text { Total } & 60022.37 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the observed F value is _____________.

A)16738.1
B)1769.75
C)33476.19
D)26546.18
E)9.457912
Question
Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine the most effective advertisement strategy for increasing the number of reservations.The bed and breakfast owners intend to rotate advertisements for 12 weeks between a travel website, a travel magazine and a local billboard.Customers making reservations will be asked where they saw the advertisement.In this experiment, the dependent variable is ________________.

A)advertisement venue
B)bed and breakfast establishment
C)travel website
D)number of reservations
E)number of customer calls
Question
Medical Wonders is a specialized interior design company focused on healing artwork.The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay.Her current client is a children's cancer hospital.Kathleen is interested in determining the effect of three different pieces of healing artwork on children.She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene)and randomly assigns six hospital rooms to each painting.Analysis of Kathleen's data yielded the following ANOVA table.  Source of Variation  SS  df  MS  F  Treatment 33476.19216738.19.457912 Error 26546.18151769.745 Total 60022.3717\begin{array} { | l | r | r | r | r | } \hline \text { Source of Variation } & { \text { SS } } & { \text { df } } & { \text { MS } } &{ \text { F } } \\\hline \text { Treatment } & 33476.19 & 2 & 16738.1 & 9.457912 \\\hline \text { Error } & 26546.18 & 15 & 1769.745 & \\\hline \text { Total } & 60022.37 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the critical F value is _____________.

A)13.68
B)19.43
C)3.59
D)19.45
E)3.68
Question
In an experimental design, part of the total ___________ in the dependent variable is being explained by differences in the __________ variable.

A)width, key
B)variance, key
C)mean, independent
D)variance, independent
E)width, dependent
Question
A college administrator might want to determine if there are differences in credit hour loads based on student living arrangements as well as student grade level.In this case, the dependent variable(s)is/are _________________.

A)credit hours
B)credit hours and living arrangements
C)living arrangements
D)grade level
E)living arrangements and grade level
Question
The subcategories of independent variables are often called __________.

A)Levels
B)Dependents
C)ANOVA
D)Experiments
E)Climates
Question
Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine the most effective advertisement strategy for increasing the number of reservations.The bed and breakfast owners intend to rotate advertisements for 12 weeks between a travel website, a travel magazine and a local billboard.Customers making reservations will be asked where they saw the advertisement.In this experiment, the independent variable has how many levels?

A)1
B)2
C)3
D)4
E)0
Question
In a two-way ANOVA test, three sets of hypotheses are tested simultaneously.
Question
Medical Wonders is a specialized interior design company focused on healing artwork.The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay.Her current client is a children's cancer hospital.Kathleen is interested in determining the effect of three different pieces of healing artwork on children.She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene)and randomly assigns six hospital rooms to each painting.Kathleen's null hypothesis is _____________.

A) μ\mu 1 = μ\mu 2 = μ\mu 3
B) μ\mu 1 \neq μ\mu 2 \neq μ\mu 3
C) μ\mu 1 \ge μ\mu 2 \ge μ\mu 3
D) μ\mu 1 \le μ\mu 2 \leμ\mu 3
E) μ\mu 1 \le μ\mu 2μ\mu 3
Question
Which of the following would be an appropriate way for a researcher to use temperature as a classification variable?

A)Increasing the room temperature each hour
B)Selecting individuals from different climates
C)Decreasing the room temperature each hour
D)Selecting individuals based on whether they are wearing coats
E)Changing the density of people in a set area
Question
The ANOVA statistical technique is primarily used to determine why there are differences from item to item in the sample when looking at a key variable's _______.

A)variance
B)median
C)mean
D)standard deviation
E)width
Question
Medical Wonders is a specialized interior design company focused on healing artwork.The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay.Her current client is a children's cancer hospital.Kathleen is interested in determining the effect of three different pieces of healing artwork on children.She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene)and randomly assigns six hospital rooms to each painting.Kathleen's experimental design is a ________.

A)factorial design
B)randomized block design
C)normalized block design
D)completely randomized design
E)fractional design
Question
Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine the most effective advertisement strategy for increasing the number of reservations.The bed and breakfast owners intend to rotate advertisements for 12 weeks between a travel website, a travel magazine and a local billboard.Customers making reservations will be asked where they saw the advertisement.In this experiment, the independent variable is a ________________.

A)treatment variable
B)classification variable
C)experimental variable
D)design variable
E)research variable
Question
Which of the following factors would be considered a classification variable?

A)Diets
B)Exercise routines
C)Heights
D)Temperatures in the room
E)Exercise time
Question
A college administrator might want to determine if there are differences in credit hour loads based on student living arrangements as well as student grade level.In this case, the independent variable(s)is/are _________________.

A)credit hours
B)credit hours and living arrangements
C)living arrangements
D)grade level
E)living arrangements and grade level
Question
Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine the most effective advertisement strategy for increasing the number of reservations.The bed and breakfast owners intend to rotate advertisements for 12 weeks between a travel website, a travel magazine and a local billboard.Customers making reservations will be asked where they saw the advertisement.In this experiment, the independent variable is ________________.

A)advertisement venue
B)bed and breakfast establishment
C)travel website
D)number of reservations
E)number of customer calls
Question
Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine with method of transportation customers prefer to arrive at the bed and breakfast.In this experiment, they will ask customers how they traveled as well as their satisfaction with that mode of transportation.In this study, the independent variable is a ___________.

A)treatment variable
B)classification variable
C)experimental variable
D)design variable
E)research variable
Question
Medical Wonders is a specialized interior design company focused on healing artwork.The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay.Her current client is a children's cancer hospital.Kathleen is interested in determining the effect of three different pieces of healing artwork on children.She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene)and randomly assigns six hospital rooms to each painting.In Kathleen's experimental design "painting style" is _______.

A)the dependent variable
B)a concomitant variable
C)a treatment variable
D)a blocking variable
E)a response variable
Question
Medical Wonders is a specialized interior design company focused on healing artwork.The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay.Her current client is a children's cancer hospital.Kathleen is interested in determining the effect of three different pieces of healing artwork on children.She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene)and randomly assigns six hospital rooms to each painting.In Kathleen's experimental design "reduced length of stay" is _______.

A)the dependent variable
B)a concomitant variable
C)a treatment variable
D)a blocking variable
E)a constant
Question
When considering the interaction effects, the null hypothesis is that those effects are zero.
Question
BigShots, Inc.is a specialty e-tailer that operates 87 catalog websites on the Internet.Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.)of a website may affect its sales.He chooses three levels of design style (neon, old world and sophisticated)and randomly assigns six catalog websites to each design style.Kevin's experimental design is a ________.

A)factorial design
B)randomized block design
C)completely randomized design
D)normalized block design
E)partially randomized design
Question
Cindy Ho, VP of Finance at Discrete Components, Inc.(DCI), theorizes that the discount rate offered to credit customers affects the average collection period on credit sales.Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%)by randomly assigning five customers to each sales discount rate.An analysis of Cindy's data produced the following ANOVA table.  Source of Variation SSdfMSF Treatrnent 1844.23614.73337.568277 Error 1299.61681.225 Total 3143.819\begin{array} { | r | r | r | r | r | } \hline \text { Source of Variation } & \mathrm { SS } & \mathrm { df } & \mathrm { MS } & \mathrm { F } \\\hline \text { Treatrnent } & 1844.2 & \mathbf { 3 } & 614.7333 & 7.568277 \\\hline \text { Error } & 1299.6 & 16 & 81.225 & \\\hline \text { Total } & 3143.8 & 19 & & \\\hline\end{array} Using α\alpha = 0.01, the appropriate decision is _________.

A)reject the null hypothesis μ\mu 1= μ\mu 2= μ\mu 3= μ\mu 4
B)reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neqμ\mu 3 \neqμ\mu 4
C)do not reject the null hypothesis μ\mu 1= μ\mu 2= μ\mu 3= μ\mu 4= μ\mu 5
D)do not reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neqμ\mu 3 \neqμ\mu 4 \neq μ\mu 5
E)do nothing
Question
Pate's Pharmacy, Inc.operates a regional chain of 120 pharmacies.Each pharmacy's floor plan includes a greeting card department which is relatively isolated.Sandra Royo, Marketing Manager, feels that the level of lighting in the greeting card department may affect sales in that department.She chooses three levels of lighting (soft, medium, and bright)and randomly assigns six pharmacies to each lighting level.Analysis of Sandra's data yielded the following ANOVA table.  Source of Variation  SS  df  MS F Treatment 3608.33321804.167 Errar 13591.6715906.1111 Total 1720017\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatment } & 3608.333 & 2 & 1804.167 & \\\hline \text { Errar } & 13591.67 & 15 & 906.1111 & \\\hline \text { Total } & 17200 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the appropriate decision is _____________.

A)do not reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neqμ\mu 3
B)do not reject the null hypothesis μ\mu 1 = μ\mu 2 = μ\mu 3
C)reject the null hypothesis μ\mu 1 \ge μ\mu 2 \geμ\mu 3
D)reject the null hypothesis μ\mu 1 \le μ\mu 2 \le μ\mu 3
E)inclusive
Question
BigShots, Inc.is a specialty e-tailer that operates 87 catalog websites on the Internet.Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.)of a website may affect its sales.He chooses three levels of design style (neon, old world and sophisticated)and randomly assigns six catalog websites to each design style.Analysis of Kevin's data yielded the following ANOVA table.  Source of Variation  SS  df  MS F Between Groups 384.33332192.1667 Within Groups 1359.6671590.64444 Total 174417\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Between Groups } & 384.3333 & 2 & 192.1667 & \\\hline \text { Within Groups } & 1359.667 & 15 & 90.64444 & \\\hline \text { Total } & 1744 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the appropriate decision is _____________.

A)do not reject the null hypothesis μ\mu 1 = μ\mu 2 = μ\mu 3
B)do not reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neqμ\mu 3
C)reject the null hypothesis μ\mu 1 \ge μ\mu 2 \ge μ\mu 3
D)reject the null hypothesis μ\mu 1 \le μ\mu 2 \le μ\mu 3
E)do nothing
Question
Cindy Ho, VP of Finance at Discrete Components, Inc.(DCI), theorizes that the discount rate offered to credit customers affects the average collection period on credit sales.Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%)by randomly assigning five customers to each sales discount rate.In Cindy's experiment, "sales discount rate" is ______.

A)the dependent variable
B)a treatment variable
C)a blocking variable
D)a concomitant variable
E)a constant
Question
BigShots, Inc.is a specialty e-tailer that operates 87 catalog websites on the Internet.Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.)of a website may affect its sales.He chooses three levels of design style (neon, old world and sophisticated)and randomly assigns six catalog websites to each design style.Analysis of Kevin's data yielded the following ANOVA table.  Source of Variation  SS dfMSF Between Groups 68102.33234051.1717.50545 Within Groups 29177.67151945.178 Total 9728017\begin{array} { | l | r | r | l | l | } \hline \text { Source of Variation } & \text { SS } & \mathrm { df } & \mathrm { MS } & F \\\hline \text { Between Groups } & 68102.33 & 2 & 34051.17 & 17.50545 \\\hline \text { Within Groups } & 29177.67 & 15 & 1945.178 & \\\hline \text { Total } & 97280 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the appropriate decision is _____________.

A)inconclusive
B)reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neqμ\mu 3
C)reject the null hypothesis μ\mu 1 = μ\mu 2 = μ\mu 3
D)do not reject the null hypothesis μ\mu 1 \ge μ\mu 2 \ge μ\mu 3
E)do not reject the null hypothesis μ\mu 1 \le μ\mu 2 \le μ\mu 3
Question
Suppose a researcher sets up a design in which there are five different treatments and a total of 32 measurements in the study.For alpha = .01, the critical table F value is ____.

A)3.75
B)3.78
C)4.07
D)4.11
E)4.91
Question
Data from a completely randomized design are shown in the following table.  Treatment Level 123272627262229232127242326\begin{array}{l}\text { Treatment Level }\\\begin{array} { | c | c | c | } \hline 1 & 2 & 3 \\\hline 27 & 26 & 27 \\\hline 26 & 22 & 29 \\\hline 23 & 21 & 27 \\\hline 24 & 23 & 26 \\\hline\end{array}\end{array} For a one-way ANOVA, the Total Sum of Squares (SST)is ________.

A)36.17
B)28.75
C)64.92
D)18.03
E)28.04
Question
Cindy Ho, VP of Finance at Discrete Components, Inc.(DCI), theorizes that the discount rate offered to credit customers affects the average collection period on credit sales.Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%)by randomly assigning five customers to each sales discount rate.In Cindy's experiment, "average collection period" is ________.

A)the dependent variable
B)a treatment variable
C)a blocking variable
D)a concomitant variable
E)a constant
Question
BigShots, Inc.is a specialty e-tailer that operates 87 catalog websites on the Internet.Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.)of a website may affect its sales.He chooses three levels of design style (neon, old world and sophisticated)and randomly assigns six catalog websites to each design style.Kevin's null hypothesis is _____________.

A) μ\mu 1 \ge μ\mu 2 \ge μ\mu 3
B) μ\mu 1 \neq μ\mu 2 \neq μ\mu 3
C) μ\mu 1 = μ\mu 2 = μ\mu 3
D) μ\mu 1 \le μ\mu 2 \le μ\mu 3
E) μ\mu 1 \le μ\mu 2μ\mu 3
Question
Pate's Pharmacy, Inc.operates a regional chain of 120 pharmacies.Each pharmacy's floor plan includes a greeting card department which is relatively isolated.Sandra Royo, Marketing Manager, feels that the level of lighting in the greeting card department may affect sales in that department.She chooses three levels of lighting (soft, medium, and bright)and randomly assigns six pharmacies to each lighting level.Analysis of Sandra's data yielded the following ANOVA table.  Source of Variation  SS  df  MS F Treatment 3608.33321804.167 Errar 13591.6715906.1111 Total 1720017\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatment } & 3608.333 & 2 & 1804.167 & \\\hline \text { Errar } & 13591.67 & 15 & 906.1111 & \\\hline \text { Total } & 17200 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the critical F value is _____________.

A)13.68
B)19.43
C)3.59
D)19.45
E)3.68
Question
BigShots, Inc.is a specialty e-tailer that operates 87 catalog websites on the Internet.Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.)of a website may affect its sales.He chooses three levels of design style (neon, old world and sophisticated)and randomly assigns six catalog websites to each design style.Analysis of Kevin's data yielded the following ANOVA table.  Source of Variation  SS dfMSF Between Groups 68102.33234051.17 Within Groups 29177.67151945.178 Total 9728017\begin{array} { | l | r | r | l | l | } \hline \text { Source of Variation } & \text { SS } & \mathrm { df } & \mathrm { MS } & \boldsymbol { F } \\\hline \text { Between Groups } & 68102.33 & 2 & 34051.17 & \\\hline \text { Within Groups } & 29177.67 & 15 & 1945.178 & \\\hline \text { Total } & 97280 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the critical F value is _____________.

A)3.57
B)19.43
C)3.68
D)19.45
E)2.85
Question
BigShots, Inc.is a specialty e-tailer that operates 87 catalog websites on the Internet.Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.)of a website may affect its sales.He chooses three levels of design style (neon, old world and sophisticated)and randomly assigns six catalog websites to each design style.Analysis of Kevin's data yielded the following ANOVA table.  Source of Variation  SS  df  MS F Between Groups 68102.33234051.17 Within Groups 29177.67151945.178 Total 9728017\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Between Groups } & 68102.33 & 2 & 34051.17 & \\\hline \text { Within Groups } & 29177.67 & 15 & 1945.178 & \\\hline \text { Total } & 97280 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the observed F value is _____________.

A)0.5022
B)0.1333
C)1.9911
D)17.5100
E)22.4567
Question
Cindy Ho, VP of Finance at Discrete Components, Inc.(DCI), theorizes that the discount rate offered to credit customers affects the average collection period on credit sales.Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%)by randomly assigning five customers to each sales discount rate.An analysis of Cindy's data produced the following ANOVA table.  Source of Variation SSdfMS F  Treatrnent 5.3531.783333 Error 177.21611.075 Total 182.5519\begin{array} { | r | r | r | r | r | } \hline \text { Source of Variation } & \mathbf { S S } & \mathrm { df } & \mathrm { MS } & \text { F } \\\hline \text { Treatrnent } & 5.35 & \mathbf { 3 } & 1.783333 & \\\hline \text { Error } & 177.2 & 16 & 11.075 & \\\hline \text { Total } & 182.55 & 19 & & \\\hline\end{array} Using α\alpha = 0.01, the observed F value is _________.

A)6.2102
B)0.1610
C)0.1875
D)5.3333
E)4.9873
Question
Pate's Pharmacy, Inc.operates a regional chain of 120 pharmacies.Each pharmacy's floor plan includes a greeting card department which is relatively isolated.Sandra Royo, Marketing Manager, feels that the level of lighting in the greeting card department may affect sales in that department.She chooses three levels of lighting (soft, medium, and bright)and randomly assigns six pharmacies to each lighting level.Analysis of Sandra's data yielded the following ANOVA table.  Source of Variation  SS  df  MS F Treatment 3608.33321804.167 Errar 13591.6715906.1111 Total 1720017\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatment } & 3608.333 & 2 & 1804.167 & \\\hline \text { Errar } & 13591.67 & 15 & 906.1111 & \\\hline \text { Total } & 17200 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the observed F value is _____________.

A)0.5022
B)0.1333
C)1.9911
D)7.5000
E)1.000
Question
Cindy Ho, VP of Finance at Discrete Components, Inc.(DCI), theorizes that the discount rate offered to credit customers affects the average collection period on credit sales.Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%)by randomly assigning five customers to each sales discount rate.An analysis of Cindy's data produced the following ANOVA table.  Source of Variation SSdfMS F  Treatrnent 5.3531.783333 Error 177.21611.075 Total 182.5519\begin{array} { | r | r | r | r | r | } \hline \text { Source of Variation } & \mathbf { S S } & \mathrm { df } & \mathrm { MS } & \text { F } \\\hline \text { Treatrnent } & 5.35 & \mathbf { 3 } & 1.783333 & \\\hline \text { Error } & 177.2 & 16 & 11.075 & \\\hline \text { Total } & 182.55 & 19 & & \\\hline\end{array} Using α\alpha = 0.01, the critical F value is _________.

A)5.33
B)6.21
C)0.16
D)5.29
E)6.89
Question
Cindy Ho, VP of Finance at Discrete Components, Inc.(DCI), theorizes that the discount rate offered to credit customers affects the average collection period on credit sales.Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%)by randomly assigning five customers to each sales discount rate.An analysis of Cindy's data produced the following ANOVA table.  Source of Variation SSdfMS F  Treatrnent 5.3531.783333 Error 177.21611.075 Total 182.5519\begin{array} { | r | r | r | r | r | } \hline \text { Source of Variation } & \mathbf { S S } & \mathrm { df } & \mathrm { MS } & \text { F } \\\hline \text { Treatrnent } & 5.35 & \mathbf { 3 } & 1.783333 & \\\hline \text { Error } & 177.2 & 16 & 11.075 & \\\hline \text { Total } & 182.55 & 19 & & \\\hline\end{array} Using α\alpha = 0.01, the appropriate decision is _________.

A)reject the null hypothesis μ\mu 1= μ\mu 2= μ\mu 3= μ\mu 4
B)reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neqμ\mu 3 \neqμ\mu 4
C)do not reject the null hypothesis μ\mu 1= μ\mu 2= μ\mu 3= μ\mu 4
D)do not reject the null hypothesis μ\mu 1 \neqμ\mu 2 \neqμ\mu 3 \neqμ\mu 4
E)do nothing
Question
Medical Wonders is a specialized interior design company focused on healing artwork.The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay.Her current client is a children's cancer hospital.Kathleen is interested in determining the effect of three different pieces of healing artwork on children.She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene)and randomly assigns six hospital rooms to each painting.Analysis of Kathleen's data yielded the following ANOVA table.  Source of Variation  SS  df  MS  F  Treatment 33476.19216738.19.457912 Error 26546.18151769.745 Total 60022.3717\begin{array} { | l | r | r | r | r | } \hline \text { Source of Variation } & { \text { SS } } & { \text { df } } & { \text { MS } } & { \text { F } } \\\hline \text { Treatment } & 33476.19 & 2 & 16738.1 & 9.457912 \\\hline \text { Error } & 26546.18 & 15 & 1769.745 & \\\hline \text { Total } & 60022.37 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the appropriate decision is _____________.

A)reject the null hypothesis μ\mu 1 = μ\mu 2= μ\mu 3
B)reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neq μ\mu 3
C)do not reject the null hypothesis μ\mu 1 \ge μ\mu 2 \ge μ\mu 3
D)do not reject the null hypothesis μ\mu 1 \le μ\mu 2 \le μ\mu 3
E)inconclusive
Question
Cindy Ho, VP of Finance at Discrete Components, Inc.(DCI), theorizes that the discount rate offered to credit customers affects the average collection period on credit sales.Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%)by randomly assigning five customers to each sales discount rate.Cindy's experimental design is a ________.

A)factorial design
B)randomized block design
C)completely randomized design
D)normalized block design
E)incomplete block design
Question
Cindy Ho, VP of Finance at Discrete Components, Inc.(DCI), theorizes that the discount rate offered to credit customers affects the average collection period on credit sales.Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%)by randomly assigning five customers to each sales discount rate.Cindy's null hypothesis is ______.

A) μ\mu 1 = μ\mu 2 = μ\mu 3 = μ\mu 4 = μ\mu 5
B) μ\mu 1 \neqμ\mu 2 \neqμ\mu 3 \neqμ\mu 4 \neqμ\mu 5
C) μ\mu 1 \neqμ\mu 2 \neqμ\mu 3 \neqμ\mu 4
D) μ\mu 1 = μ\mu 2 = μ\mu 3 = μ\mu 4
E) μ\mu 1μ\mu 2 = μ\mu 3 = μ\mu 4
Question
For the following ANOVA table, the observed F value is ___________.  Source of Variation  SS df MS F Treatment 150 Error 4020 Total 23\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \mathrm { df } & \text { MS } & F \\\hline \text { Treatment } & 150 & & & \\\hline \text { Error } & 40 & 20 & & \\\hline \text { Total } & & 23 & & \\\hline\end{array}

A)0.5625
B)50
C)25
D)0.02
E)0.09
Question
For the following ANOVA table, the dfTreatment value is ___________.  Source of Variation  SS  df  MS F Treatrnent 150 Error 4020 Total 23\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatrnent } & 150 & & & \\\hline \text { Error } & 40 & 20 & & \\\hline \text { Total } & & 23 & & \\\hline\end{array}

A)3
B)43
C)1.15
D)460
E)150
Question
For the following ANOVA table, the HSD value, assuming equal sample sizes and using α\alpha = 0.01, is ______.  Source of Variation  SS  df  MS F Treatrnent 0.123320.061651.566311 Error 0.5904150.03936 Total 0.713717\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatrnent } & 0.1233 & 2 & 0.06165 & 1.566311 \\\hline \text { Error } & 0.5904 & 15 & 0.03936 & \\\hline \text { Total } & 0.7137 & 17 & & \\\hline\end{array}

A)0.39
B)0.55
C)0.48
D)0.43
E)0.68
Question
If the confidence interval for the difference of means contains zero, then it can be concluded that ________________.

A)there is a significant difference in the variances
B)there is not a significant difference in the means
C)there is a significant difference in the means
D)the groups are the same on all measures
E)there is not a significant difference in the variances
Question
The results of an experiment comparing the cycle lengths of three different brands of washing machines (N=33)indicated an overall mean square error of 2.58.The researcher believes that the brands 1 and 2 may be the most different as they have mean cycles of 31.8 (n=12)and 35.9 (n=10).Using an alpha of 0.05, what would be the q obtained for this problem?

A)3.44
B)3.80
C)2.86
D)3.49
E)3.82
Question
For the following ANOVA table, the HSD value, assuming equal sample sizes and using α\alpha = 0.05 is ______.  Source of Variation  SS  df  MS F Treatment 36.17218.085.66 Error 28.7593.19 Total 64.9211\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatment } & 36.17 & 2 & 18.08 & 5.66 \\\hline \text { Error } & 28.75 & 9 & 3.19 & \\\hline \text { Total } & 64.92 & 11 & & \\\hline\end{array}

A)1.86
B)3.94
C)3.19
D)1.645
E)3.52
Question
Data from a completely randomized design are shown in the following table.  Treatment Level 123272627262229232127242326\begin{array}{l}\text { Treatment Level }\\\begin{array} { | c | c | c | } \hline 1 & 2 & 3 \\\hline 27 & 26 & 27 \\\hline 26 & 22 & 29 \\\hline 23 & 21 & 27 \\\hline 24 & 23 & 26 \\\hline\end{array}\end{array} For a one-way ANOVA using α\alpha = 0.05, the critical F value is ________.

A)3.86
B)3.59
C)19.38
D)4.26
E)6.8
Question
For the following ANOVA table, the MS Error value is ___________.  Source of Variation  SS df MS F Treatment 150 Error 4020 Total 23\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \mathrm { df } & \text { MS } & F \\\hline \text { Treatment } & 150 & & & \\\hline \text { Error } & 40 & 20 & & \\\hline \text { Total } & & 23 & & \\\hline\end{array}

A)20
B)60
C)800
D)2
E)200
Question
For the following ANOVA table, the MS Error value is ___________.  Source of Variation  SS df MS F Treatment 4 Error 360 Total 44016\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \mathrm { df } & \text { MS } & F \\\hline \text { Treatment } & & 4 & & \\\hline \text { Error } & 360 & & & \\\hline \text { Total } & 440 & 16 & & \\\hline\end{array}

A)4,320
B)372
C)348
D)30
E)4
Question
Data from a completely randomized design are shown in the following table.  Treatment Level 123272627262229232127242326\begin{array}{l}\text { Treatment Level }\\\begin{array} { | c | c | c | } \hline 1 & 2 & 3 \\\hline 27 & 26 & 27 \\\hline 26 & 22 & 29 \\\hline 23 & 21 & 27 \\\hline 24 & 23 & 26 \\\hline\end{array}\end{array} For a one-way ANOVA using α\alpha = 0.05, the appropriate decision is ________.

A)do not reject the null hypothesis μ\mu 1 \geμ\mu 2 \geμ\mu 3
B)do not reject the null hypothesis μ\mu 1 \le μ\mu 2 \leμ\mu 3
C)reject the null hypothesis μ\mu 1= μ\mu 2= μ\mu 3
D)reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neq μ\mu 3
E)do not reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neq 0 μ\mu 3
Question
Posteriori pairwise comparisons are only made in situations where ______________.

A)there was a significant F value and it is after the experiment
B)there was not a significant F value and it is after the experiment
C)there was a significant F value and it is before the experiment
D)the analyst wants to compare any two samples after the experiment
E)there was not a significant F value and it is before the experiment
Question
For the following ANOVA table, the critical value of the studentized range distribution using α\alpha = 0.01 is ______.  Source of Variation  SS  df  MS F Treatrnent 0.123320.061651.566311 Error 0.5904150.03936 Total 0.713717\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatrnent } & 0.1233 & 2 & 0.06165 & 1.566311 \\\hline \text { Error } & 0.5904 & 15 & 0.03936 & \\\hline \text { Total } & 0.7137 & 17 & & \\\hline\end{array}

A)3.01
B)3.67
C)4.17
D)4.83
E)5.25
Question
For the following ANOVA table, the MS Treatment value is ___________.  Source of Variation  SS  df  MS F Treatment 4 Error 360 Total 44016\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatment } & & 4 & & \\\hline \text { Error } & 360 & & & \\\hline \text { Total } & 440 & 16 & & \\\hline\end{array}

A)20
B)200
C)76
D)84
E)360
Question
Data from a completely randomized design are shown in the following table.  Treatment Level 123272627262229232127242326\begin{array}{l}\text { Treatment Level }\\\begin{array} { | c | c | c | } \hline 1 & 2 & 3 \\\hline 27 & 26 & 27 \\\hline 26 & 22 & 29 \\\hline 23 & 21 & 27 \\\hline 24 & 23 & 26 \\\hline\end{array}\end{array} For a one-way ANOVA, the Between Sum of Squares (SSC is ________.

A)36.17
B)28.75
C)64.92
D)18.03
E)28.04
Question
Data from a completely randomized design are shown in the following table.  Treatment Level 123272627262229232127242326\begin{array}{l}\text { Treatment Level }\\\begin{array} { | c | c | c | } \hline 1 & 2 & 3 \\\hline 27 & 26 & 27 \\\hline 26 & 22 & 29 \\\hline 23 & 21 & 27 \\\hline 24 & 23 & 26 \\\hline\end{array}\end{array} For a one-way ANOVA, the Error Sum of Squares (SSE)is ________.

A)36.17
B)28.75
C)64.92
D)18.03
E)28.04
Question
Data from a completely randomized design are shown in the following table.  Treatment Level 123272627262229232127242326\begin{array}{l}\text { Treatment Level }\\\begin{array} { | c | c | c | } \hline 1 & 2 & 3 \\\hline 27 & 26 & 27 \\\hline 26 & 22 & 29 \\\hline 23 & 21 & 27 \\\hline 24 & 23 & 26 \\\hline\end{array}\end{array} For a one-way ANOVA using α\alpha = 0.05, the observed F value is ________.

A)5.66
B)3.19
C)18.08
D)4.34
E)8.98
Question
For the following ANOVA table, the critical value of the studentized range distribution using α\alpha = 0.05 is ______.  Source of Variation  SS  df  MS F Treatment 36.17218.085.66 Error 28.7593.19 Total 64.9211\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatment } & 36.17 & 2 & 18.08 & 5.66 \\\hline \text { Error } & 28.75 & 9 & 3.19 & \\\hline \text { Total } & 64.92 & 11 & & \\\hline\end{array}

A)1.86
B)3.95
C)9.17
D)1.65
E)1.79
Question
For the following ANOVA table, the observed F value is ___________.  Source of Variation  SS df MS F Treatment 4 Error 360 Total 44016\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \mathrm { df } & \text { MS } & F \\\hline \text { Treatment } & & 4 & & \\\hline \text { Error } & 360 & & & \\\hline \text { Total } & 440 & 16 & & \\\hline\end{array}

A)0.67
B)1.50
C)6.00
D)5.00
E)4.00
Question
For the following ANOVA table, the dfError value is ___________.  Source of Variation  SS  df  MS F Treatment 4 Error 360 Total 44016\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatment } & & 4 & & \\\hline \text { Error } & 360 & & & \\\hline \text { Total } & 440 & 16 & & \\\hline\end{array}

A)4
B)20
C)12
D)64
E)16
Question
For the following ANOVA table, the MS Treatment value is ___________.  Source of Variation  SS  df  MS F Treatment 150 Error 4020 Total 23\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatment } & 150 & & & \\\hline \text { Error } & 40 & 20 & & \\\hline \text { Total } & & 23 & & \\\hline\end{array}

A)150
B)50
C)450
D)3.49
E)40
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Deck 11: Analysis of Variance and Design of Experiments
1
The F value for treatment will always increase if we include a blocking effect.
False
2
In an experimental design, classification variables are independent variables.
True
3
The statistical methods of analysis of variance assume that the populations are normally distributed.
True
4
In an experimental design, a characteristic of the subjects that was present prior to the experiment and is not the result of the experimenter's manipulations or control is called a classification variable.
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5
Interaction effects in a factorial design can be analyzed in randomized block design.
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6
An experimental design where two or more treatments are considered simultaneously is called a factorial design.
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7
In analysis of variance tests an F distribution forms the basis for making the decisions.
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8
Determining the table value for the F distribution requires two values for degrees of freedom.
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9
In a randomized complete block design the conclusion might be that blocking is not necessary.
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10
A pet adoption agency is considering the probability of a pet being adopted when considering its age and its size.A factorial design can help the agency consider the interaction effects between adoption and size.
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11
A completely randomized design has been analyzed by using a one-way ANOVA.There are three treatment groups in the design, and each sample size is four.The mean for group 1 is 25.00 and for group 3 it is 27.50.MSE is 3.19.Using α=0.05 there is a significant difference between these two groups.
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12
The Tukey-Kramer procedure is based on construction of confidence intervals for each pair of treatment means at a time.
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13
Analysis of variance may be used to test the differences in the means of more than two independent populations.
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14
An experimental design contains only independent variables.
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15
If 5 groups are tested two at a time, the total number of paired comparisons is 9.
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16
A completely randomized design has been analyzed by using a one-way ANOVA.There are three treatment groups in the design, and each sample size is four.The mean for group 1 is 23.50 and for group 3 it is 27.50.MSE is 3.19.Using α=0.05 there is a significant difference between these two groups.
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17
In an experimental design, treatment variables are response variables.
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18
In an experimental design, a variable that the experimenter controls or modifies in the experiment is called a treatment variable.
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19
The statistical methods of analysis of variance assume equal sample means.
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20
The Tukey-Kramer procedure allows us to simultaneously examine all pairs of population means after the ANOVA test has been completed without increasing the true α level.
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21
Medical Wonders is a specialized interior design company focused on healing artwork.The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay.Her current client is a children's cancer hospital.Kathleen is interested in determining the effect of three different pieces of healing artwork on children.She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene)and randomly assigns six hospital rooms to each painting.Analysis of Kathleen's data yielded the following ANOVA table.  Source of Variation  SS  df  MS  F  Treatment 33476.19216738.19.457912 Error 26546.18151769.745 Total 60022.3717\begin{array} { | l | r | r | r | r | } \hline \text { Source of Variation } & { \text { SS } } & { \text { df } } & { \text { MS } } & { \text { F } } \\\hline \text { Treatment } & 33476.19 & 2 & 16738.1 & 9.457912 \\\hline \text { Error } & 26546.18 & 15 & 1769.745 & \\\hline \text { Total } & 60022.37 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the observed F value is _____________.

A)16738.1
B)1769.75
C)33476.19
D)26546.18
E)9.457912
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22
Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine the most effective advertisement strategy for increasing the number of reservations.The bed and breakfast owners intend to rotate advertisements for 12 weeks between a travel website, a travel magazine and a local billboard.Customers making reservations will be asked where they saw the advertisement.In this experiment, the dependent variable is ________________.

A)advertisement venue
B)bed and breakfast establishment
C)travel website
D)number of reservations
E)number of customer calls
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23
Medical Wonders is a specialized interior design company focused on healing artwork.The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay.Her current client is a children's cancer hospital.Kathleen is interested in determining the effect of three different pieces of healing artwork on children.She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene)and randomly assigns six hospital rooms to each painting.Analysis of Kathleen's data yielded the following ANOVA table.  Source of Variation  SS  df  MS  F  Treatment 33476.19216738.19.457912 Error 26546.18151769.745 Total 60022.3717\begin{array} { | l | r | r | r | r | } \hline \text { Source of Variation } & { \text { SS } } & { \text { df } } & { \text { MS } } &{ \text { F } } \\\hline \text { Treatment } & 33476.19 & 2 & 16738.1 & 9.457912 \\\hline \text { Error } & 26546.18 & 15 & 1769.745 & \\\hline \text { Total } & 60022.37 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the critical F value is _____________.

A)13.68
B)19.43
C)3.59
D)19.45
E)3.68
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24
In an experimental design, part of the total ___________ in the dependent variable is being explained by differences in the __________ variable.

A)width, key
B)variance, key
C)mean, independent
D)variance, independent
E)width, dependent
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25
A college administrator might want to determine if there are differences in credit hour loads based on student living arrangements as well as student grade level.In this case, the dependent variable(s)is/are _________________.

A)credit hours
B)credit hours and living arrangements
C)living arrangements
D)grade level
E)living arrangements and grade level
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26
The subcategories of independent variables are often called __________.

A)Levels
B)Dependents
C)ANOVA
D)Experiments
E)Climates
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27
Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine the most effective advertisement strategy for increasing the number of reservations.The bed and breakfast owners intend to rotate advertisements for 12 weeks between a travel website, a travel magazine and a local billboard.Customers making reservations will be asked where they saw the advertisement.In this experiment, the independent variable has how many levels?

A)1
B)2
C)3
D)4
E)0
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28
In a two-way ANOVA test, three sets of hypotheses are tested simultaneously.
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29
Medical Wonders is a specialized interior design company focused on healing artwork.The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay.Her current client is a children's cancer hospital.Kathleen is interested in determining the effect of three different pieces of healing artwork on children.She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene)and randomly assigns six hospital rooms to each painting.Kathleen's null hypothesis is _____________.

A) μ\mu 1 = μ\mu 2 = μ\mu 3
B) μ\mu 1 \neq μ\mu 2 \neq μ\mu 3
C) μ\mu 1 \ge μ\mu 2 \ge μ\mu 3
D) μ\mu 1 \le μ\mu 2 \leμ\mu 3
E) μ\mu 1 \le μ\mu 2μ\mu 3
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30
Which of the following would be an appropriate way for a researcher to use temperature as a classification variable?

A)Increasing the room temperature each hour
B)Selecting individuals from different climates
C)Decreasing the room temperature each hour
D)Selecting individuals based on whether they are wearing coats
E)Changing the density of people in a set area
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31
The ANOVA statistical technique is primarily used to determine why there are differences from item to item in the sample when looking at a key variable's _______.

A)variance
B)median
C)mean
D)standard deviation
E)width
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32
Medical Wonders is a specialized interior design company focused on healing artwork.The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay.Her current client is a children's cancer hospital.Kathleen is interested in determining the effect of three different pieces of healing artwork on children.She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene)and randomly assigns six hospital rooms to each painting.Kathleen's experimental design is a ________.

A)factorial design
B)randomized block design
C)normalized block design
D)completely randomized design
E)fractional design
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33
Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine the most effective advertisement strategy for increasing the number of reservations.The bed and breakfast owners intend to rotate advertisements for 12 weeks between a travel website, a travel magazine and a local billboard.Customers making reservations will be asked where they saw the advertisement.In this experiment, the independent variable is a ________________.

A)treatment variable
B)classification variable
C)experimental variable
D)design variable
E)research variable
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34
Which of the following factors would be considered a classification variable?

A)Diets
B)Exercise routines
C)Heights
D)Temperatures in the room
E)Exercise time
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35
A college administrator might want to determine if there are differences in credit hour loads based on student living arrangements as well as student grade level.In this case, the independent variable(s)is/are _________________.

A)credit hours
B)credit hours and living arrangements
C)living arrangements
D)grade level
E)living arrangements and grade level
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36
Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine the most effective advertisement strategy for increasing the number of reservations.The bed and breakfast owners intend to rotate advertisements for 12 weeks between a travel website, a travel magazine and a local billboard.Customers making reservations will be asked where they saw the advertisement.In this experiment, the independent variable is ________________.

A)advertisement venue
B)bed and breakfast establishment
C)travel website
D)number of reservations
E)number of customer calls
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37
Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine with method of transportation customers prefer to arrive at the bed and breakfast.In this experiment, they will ask customers how they traveled as well as their satisfaction with that mode of transportation.In this study, the independent variable is a ___________.

A)treatment variable
B)classification variable
C)experimental variable
D)design variable
E)research variable
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38
Medical Wonders is a specialized interior design company focused on healing artwork.The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay.Her current client is a children's cancer hospital.Kathleen is interested in determining the effect of three different pieces of healing artwork on children.She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene)and randomly assigns six hospital rooms to each painting.In Kathleen's experimental design "painting style" is _______.

A)the dependent variable
B)a concomitant variable
C)a treatment variable
D)a blocking variable
E)a response variable
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39
Medical Wonders is a specialized interior design company focused on healing artwork.The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay.Her current client is a children's cancer hospital.Kathleen is interested in determining the effect of three different pieces of healing artwork on children.She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene)and randomly assigns six hospital rooms to each painting.In Kathleen's experimental design "reduced length of stay" is _______.

A)the dependent variable
B)a concomitant variable
C)a treatment variable
D)a blocking variable
E)a constant
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40
When considering the interaction effects, the null hypothesis is that those effects are zero.
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41
BigShots, Inc.is a specialty e-tailer that operates 87 catalog websites on the Internet.Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.)of a website may affect its sales.He chooses three levels of design style (neon, old world and sophisticated)and randomly assigns six catalog websites to each design style.Kevin's experimental design is a ________.

A)factorial design
B)randomized block design
C)completely randomized design
D)normalized block design
E)partially randomized design
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42
Cindy Ho, VP of Finance at Discrete Components, Inc.(DCI), theorizes that the discount rate offered to credit customers affects the average collection period on credit sales.Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%)by randomly assigning five customers to each sales discount rate.An analysis of Cindy's data produced the following ANOVA table.  Source of Variation SSdfMSF Treatrnent 1844.23614.73337.568277 Error 1299.61681.225 Total 3143.819\begin{array} { | r | r | r | r | r | } \hline \text { Source of Variation } & \mathrm { SS } & \mathrm { df } & \mathrm { MS } & \mathrm { F } \\\hline \text { Treatrnent } & 1844.2 & \mathbf { 3 } & 614.7333 & 7.568277 \\\hline \text { Error } & 1299.6 & 16 & 81.225 & \\\hline \text { Total } & 3143.8 & 19 & & \\\hline\end{array} Using α\alpha = 0.01, the appropriate decision is _________.

A)reject the null hypothesis μ\mu 1= μ\mu 2= μ\mu 3= μ\mu 4
B)reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neqμ\mu 3 \neqμ\mu 4
C)do not reject the null hypothesis μ\mu 1= μ\mu 2= μ\mu 3= μ\mu 4= μ\mu 5
D)do not reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neqμ\mu 3 \neqμ\mu 4 \neq μ\mu 5
E)do nothing
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43
Pate's Pharmacy, Inc.operates a regional chain of 120 pharmacies.Each pharmacy's floor plan includes a greeting card department which is relatively isolated.Sandra Royo, Marketing Manager, feels that the level of lighting in the greeting card department may affect sales in that department.She chooses three levels of lighting (soft, medium, and bright)and randomly assigns six pharmacies to each lighting level.Analysis of Sandra's data yielded the following ANOVA table.  Source of Variation  SS  df  MS F Treatment 3608.33321804.167 Errar 13591.6715906.1111 Total 1720017\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatment } & 3608.333 & 2 & 1804.167 & \\\hline \text { Errar } & 13591.67 & 15 & 906.1111 & \\\hline \text { Total } & 17200 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the appropriate decision is _____________.

A)do not reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neqμ\mu 3
B)do not reject the null hypothesis μ\mu 1 = μ\mu 2 = μ\mu 3
C)reject the null hypothesis μ\mu 1 \ge μ\mu 2 \geμ\mu 3
D)reject the null hypothesis μ\mu 1 \le μ\mu 2 \le μ\mu 3
E)inclusive
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44
BigShots, Inc.is a specialty e-tailer that operates 87 catalog websites on the Internet.Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.)of a website may affect its sales.He chooses three levels of design style (neon, old world and sophisticated)and randomly assigns six catalog websites to each design style.Analysis of Kevin's data yielded the following ANOVA table.  Source of Variation  SS  df  MS F Between Groups 384.33332192.1667 Within Groups 1359.6671590.64444 Total 174417\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Between Groups } & 384.3333 & 2 & 192.1667 & \\\hline \text { Within Groups } & 1359.667 & 15 & 90.64444 & \\\hline \text { Total } & 1744 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the appropriate decision is _____________.

A)do not reject the null hypothesis μ\mu 1 = μ\mu 2 = μ\mu 3
B)do not reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neqμ\mu 3
C)reject the null hypothesis μ\mu 1 \ge μ\mu 2 \ge μ\mu 3
D)reject the null hypothesis μ\mu 1 \le μ\mu 2 \le μ\mu 3
E)do nothing
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45
Cindy Ho, VP of Finance at Discrete Components, Inc.(DCI), theorizes that the discount rate offered to credit customers affects the average collection period on credit sales.Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%)by randomly assigning five customers to each sales discount rate.In Cindy's experiment, "sales discount rate" is ______.

A)the dependent variable
B)a treatment variable
C)a blocking variable
D)a concomitant variable
E)a constant
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46
BigShots, Inc.is a specialty e-tailer that operates 87 catalog websites on the Internet.Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.)of a website may affect its sales.He chooses three levels of design style (neon, old world and sophisticated)and randomly assigns six catalog websites to each design style.Analysis of Kevin's data yielded the following ANOVA table.  Source of Variation  SS dfMSF Between Groups 68102.33234051.1717.50545 Within Groups 29177.67151945.178 Total 9728017\begin{array} { | l | r | r | l | l | } \hline \text { Source of Variation } & \text { SS } & \mathrm { df } & \mathrm { MS } & F \\\hline \text { Between Groups } & 68102.33 & 2 & 34051.17 & 17.50545 \\\hline \text { Within Groups } & 29177.67 & 15 & 1945.178 & \\\hline \text { Total } & 97280 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the appropriate decision is _____________.

A)inconclusive
B)reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neqμ\mu 3
C)reject the null hypothesis μ\mu 1 = μ\mu 2 = μ\mu 3
D)do not reject the null hypothesis μ\mu 1 \ge μ\mu 2 \ge μ\mu 3
E)do not reject the null hypothesis μ\mu 1 \le μ\mu 2 \le μ\mu 3
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47
Suppose a researcher sets up a design in which there are five different treatments and a total of 32 measurements in the study.For alpha = .01, the critical table F value is ____.

A)3.75
B)3.78
C)4.07
D)4.11
E)4.91
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48
Data from a completely randomized design are shown in the following table.  Treatment Level 123272627262229232127242326\begin{array}{l}\text { Treatment Level }\\\begin{array} { | c | c | c | } \hline 1 & 2 & 3 \\\hline 27 & 26 & 27 \\\hline 26 & 22 & 29 \\\hline 23 & 21 & 27 \\\hline 24 & 23 & 26 \\\hline\end{array}\end{array} For a one-way ANOVA, the Total Sum of Squares (SST)is ________.

A)36.17
B)28.75
C)64.92
D)18.03
E)28.04
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49
Cindy Ho, VP of Finance at Discrete Components, Inc.(DCI), theorizes that the discount rate offered to credit customers affects the average collection period on credit sales.Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%)by randomly assigning five customers to each sales discount rate.In Cindy's experiment, "average collection period" is ________.

A)the dependent variable
B)a treatment variable
C)a blocking variable
D)a concomitant variable
E)a constant
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50
BigShots, Inc.is a specialty e-tailer that operates 87 catalog websites on the Internet.Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.)of a website may affect its sales.He chooses three levels of design style (neon, old world and sophisticated)and randomly assigns six catalog websites to each design style.Kevin's null hypothesis is _____________.

A) μ\mu 1 \ge μ\mu 2 \ge μ\mu 3
B) μ\mu 1 \neq μ\mu 2 \neq μ\mu 3
C) μ\mu 1 = μ\mu 2 = μ\mu 3
D) μ\mu 1 \le μ\mu 2 \le μ\mu 3
E) μ\mu 1 \le μ\mu 2μ\mu 3
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51
Pate's Pharmacy, Inc.operates a regional chain of 120 pharmacies.Each pharmacy's floor plan includes a greeting card department which is relatively isolated.Sandra Royo, Marketing Manager, feels that the level of lighting in the greeting card department may affect sales in that department.She chooses three levels of lighting (soft, medium, and bright)and randomly assigns six pharmacies to each lighting level.Analysis of Sandra's data yielded the following ANOVA table.  Source of Variation  SS  df  MS F Treatment 3608.33321804.167 Errar 13591.6715906.1111 Total 1720017\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatment } & 3608.333 & 2 & 1804.167 & \\\hline \text { Errar } & 13591.67 & 15 & 906.1111 & \\\hline \text { Total } & 17200 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the critical F value is _____________.

A)13.68
B)19.43
C)3.59
D)19.45
E)3.68
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52
BigShots, Inc.is a specialty e-tailer that operates 87 catalog websites on the Internet.Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.)of a website may affect its sales.He chooses three levels of design style (neon, old world and sophisticated)and randomly assigns six catalog websites to each design style.Analysis of Kevin's data yielded the following ANOVA table.  Source of Variation  SS dfMSF Between Groups 68102.33234051.17 Within Groups 29177.67151945.178 Total 9728017\begin{array} { | l | r | r | l | l | } \hline \text { Source of Variation } & \text { SS } & \mathrm { df } & \mathrm { MS } & \boldsymbol { F } \\\hline \text { Between Groups } & 68102.33 & 2 & 34051.17 & \\\hline \text { Within Groups } & 29177.67 & 15 & 1945.178 & \\\hline \text { Total } & 97280 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the critical F value is _____________.

A)3.57
B)19.43
C)3.68
D)19.45
E)2.85
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53
BigShots, Inc.is a specialty e-tailer that operates 87 catalog websites on the Internet.Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.)of a website may affect its sales.He chooses three levels of design style (neon, old world and sophisticated)and randomly assigns six catalog websites to each design style.Analysis of Kevin's data yielded the following ANOVA table.  Source of Variation  SS  df  MS F Between Groups 68102.33234051.17 Within Groups 29177.67151945.178 Total 9728017\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Between Groups } & 68102.33 & 2 & 34051.17 & \\\hline \text { Within Groups } & 29177.67 & 15 & 1945.178 & \\\hline \text { Total } & 97280 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the observed F value is _____________.

A)0.5022
B)0.1333
C)1.9911
D)17.5100
E)22.4567
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54
Cindy Ho, VP of Finance at Discrete Components, Inc.(DCI), theorizes that the discount rate offered to credit customers affects the average collection period on credit sales.Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%)by randomly assigning five customers to each sales discount rate.An analysis of Cindy's data produced the following ANOVA table.  Source of Variation SSdfMS F  Treatrnent 5.3531.783333 Error 177.21611.075 Total 182.5519\begin{array} { | r | r | r | r | r | } \hline \text { Source of Variation } & \mathbf { S S } & \mathrm { df } & \mathrm { MS } & \text { F } \\\hline \text { Treatrnent } & 5.35 & \mathbf { 3 } & 1.783333 & \\\hline \text { Error } & 177.2 & 16 & 11.075 & \\\hline \text { Total } & 182.55 & 19 & & \\\hline\end{array} Using α\alpha = 0.01, the observed F value is _________.

A)6.2102
B)0.1610
C)0.1875
D)5.3333
E)4.9873
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55
Pate's Pharmacy, Inc.operates a regional chain of 120 pharmacies.Each pharmacy's floor plan includes a greeting card department which is relatively isolated.Sandra Royo, Marketing Manager, feels that the level of lighting in the greeting card department may affect sales in that department.She chooses three levels of lighting (soft, medium, and bright)and randomly assigns six pharmacies to each lighting level.Analysis of Sandra's data yielded the following ANOVA table.  Source of Variation  SS  df  MS F Treatment 3608.33321804.167 Errar 13591.6715906.1111 Total 1720017\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatment } & 3608.333 & 2 & 1804.167 & \\\hline \text { Errar } & 13591.67 & 15 & 906.1111 & \\\hline \text { Total } & 17200 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the observed F value is _____________.

A)0.5022
B)0.1333
C)1.9911
D)7.5000
E)1.000
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56
Cindy Ho, VP of Finance at Discrete Components, Inc.(DCI), theorizes that the discount rate offered to credit customers affects the average collection period on credit sales.Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%)by randomly assigning five customers to each sales discount rate.An analysis of Cindy's data produced the following ANOVA table.  Source of Variation SSdfMS F  Treatrnent 5.3531.783333 Error 177.21611.075 Total 182.5519\begin{array} { | r | r | r | r | r | } \hline \text { Source of Variation } & \mathbf { S S } & \mathrm { df } & \mathrm { MS } & \text { F } \\\hline \text { Treatrnent } & 5.35 & \mathbf { 3 } & 1.783333 & \\\hline \text { Error } & 177.2 & 16 & 11.075 & \\\hline \text { Total } & 182.55 & 19 & & \\\hline\end{array} Using α\alpha = 0.01, the critical F value is _________.

A)5.33
B)6.21
C)0.16
D)5.29
E)6.89
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57
Cindy Ho, VP of Finance at Discrete Components, Inc.(DCI), theorizes that the discount rate offered to credit customers affects the average collection period on credit sales.Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%)by randomly assigning five customers to each sales discount rate.An analysis of Cindy's data produced the following ANOVA table.  Source of Variation SSdfMS F  Treatrnent 5.3531.783333 Error 177.21611.075 Total 182.5519\begin{array} { | r | r | r | r | r | } \hline \text { Source of Variation } & \mathbf { S S } & \mathrm { df } & \mathrm { MS } & \text { F } \\\hline \text { Treatrnent } & 5.35 & \mathbf { 3 } & 1.783333 & \\\hline \text { Error } & 177.2 & 16 & 11.075 & \\\hline \text { Total } & 182.55 & 19 & & \\\hline\end{array} Using α\alpha = 0.01, the appropriate decision is _________.

A)reject the null hypothesis μ\mu 1= μ\mu 2= μ\mu 3= μ\mu 4
B)reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neqμ\mu 3 \neqμ\mu 4
C)do not reject the null hypothesis μ\mu 1= μ\mu 2= μ\mu 3= μ\mu 4
D)do not reject the null hypothesis μ\mu 1 \neqμ\mu 2 \neqμ\mu 3 \neqμ\mu 4
E)do nothing
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58
Medical Wonders is a specialized interior design company focused on healing artwork.The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay.Her current client is a children's cancer hospital.Kathleen is interested in determining the effect of three different pieces of healing artwork on children.She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene)and randomly assigns six hospital rooms to each painting.Analysis of Kathleen's data yielded the following ANOVA table.  Source of Variation  SS  df  MS  F  Treatment 33476.19216738.19.457912 Error 26546.18151769.745 Total 60022.3717\begin{array} { | l | r | r | r | r | } \hline \text { Source of Variation } & { \text { SS } } & { \text { df } } & { \text { MS } } & { \text { F } } \\\hline \text { Treatment } & 33476.19 & 2 & 16738.1 & 9.457912 \\\hline \text { Error } & 26546.18 & 15 & 1769.745 & \\\hline \text { Total } & 60022.37 & 17 & & \\\hline\end{array} Using α\alpha = 0.05, the appropriate decision is _____________.

A)reject the null hypothesis μ\mu 1 = μ\mu 2= μ\mu 3
B)reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neq μ\mu 3
C)do not reject the null hypothesis μ\mu 1 \ge μ\mu 2 \ge μ\mu 3
D)do not reject the null hypothesis μ\mu 1 \le μ\mu 2 \le μ\mu 3
E)inconclusive
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59
Cindy Ho, VP of Finance at Discrete Components, Inc.(DCI), theorizes that the discount rate offered to credit customers affects the average collection period on credit sales.Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%)by randomly assigning five customers to each sales discount rate.Cindy's experimental design is a ________.

A)factorial design
B)randomized block design
C)completely randomized design
D)normalized block design
E)incomplete block design
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60
Cindy Ho, VP of Finance at Discrete Components, Inc.(DCI), theorizes that the discount rate offered to credit customers affects the average collection period on credit sales.Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%)by randomly assigning five customers to each sales discount rate.Cindy's null hypothesis is ______.

A) μ\mu 1 = μ\mu 2 = μ\mu 3 = μ\mu 4 = μ\mu 5
B) μ\mu 1 \neqμ\mu 2 \neqμ\mu 3 \neqμ\mu 4 \neqμ\mu 5
C) μ\mu 1 \neqμ\mu 2 \neqμ\mu 3 \neqμ\mu 4
D) μ\mu 1 = μ\mu 2 = μ\mu 3 = μ\mu 4
E) μ\mu 1μ\mu 2 = μ\mu 3 = μ\mu 4
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61
For the following ANOVA table, the observed F value is ___________.  Source of Variation  SS df MS F Treatment 150 Error 4020 Total 23\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \mathrm { df } & \text { MS } & F \\\hline \text { Treatment } & 150 & & & \\\hline \text { Error } & 40 & 20 & & \\\hline \text { Total } & & 23 & & \\\hline\end{array}

A)0.5625
B)50
C)25
D)0.02
E)0.09
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62
For the following ANOVA table, the dfTreatment value is ___________.  Source of Variation  SS  df  MS F Treatrnent 150 Error 4020 Total 23\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatrnent } & 150 & & & \\\hline \text { Error } & 40 & 20 & & \\\hline \text { Total } & & 23 & & \\\hline\end{array}

A)3
B)43
C)1.15
D)460
E)150
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63
For the following ANOVA table, the HSD value, assuming equal sample sizes and using α\alpha = 0.01, is ______.  Source of Variation  SS  df  MS F Treatrnent 0.123320.061651.566311 Error 0.5904150.03936 Total 0.713717\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatrnent } & 0.1233 & 2 & 0.06165 & 1.566311 \\\hline \text { Error } & 0.5904 & 15 & 0.03936 & \\\hline \text { Total } & 0.7137 & 17 & & \\\hline\end{array}

A)0.39
B)0.55
C)0.48
D)0.43
E)0.68
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64
If the confidence interval for the difference of means contains zero, then it can be concluded that ________________.

A)there is a significant difference in the variances
B)there is not a significant difference in the means
C)there is a significant difference in the means
D)the groups are the same on all measures
E)there is not a significant difference in the variances
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65
The results of an experiment comparing the cycle lengths of three different brands of washing machines (N=33)indicated an overall mean square error of 2.58.The researcher believes that the brands 1 and 2 may be the most different as they have mean cycles of 31.8 (n=12)and 35.9 (n=10).Using an alpha of 0.05, what would be the q obtained for this problem?

A)3.44
B)3.80
C)2.86
D)3.49
E)3.82
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66
For the following ANOVA table, the HSD value, assuming equal sample sizes and using α\alpha = 0.05 is ______.  Source of Variation  SS  df  MS F Treatment 36.17218.085.66 Error 28.7593.19 Total 64.9211\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatment } & 36.17 & 2 & 18.08 & 5.66 \\\hline \text { Error } & 28.75 & 9 & 3.19 & \\\hline \text { Total } & 64.92 & 11 & & \\\hline\end{array}

A)1.86
B)3.94
C)3.19
D)1.645
E)3.52
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67
Data from a completely randomized design are shown in the following table.  Treatment Level 123272627262229232127242326\begin{array}{l}\text { Treatment Level }\\\begin{array} { | c | c | c | } \hline 1 & 2 & 3 \\\hline 27 & 26 & 27 \\\hline 26 & 22 & 29 \\\hline 23 & 21 & 27 \\\hline 24 & 23 & 26 \\\hline\end{array}\end{array} For a one-way ANOVA using α\alpha = 0.05, the critical F value is ________.

A)3.86
B)3.59
C)19.38
D)4.26
E)6.8
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68
For the following ANOVA table, the MS Error value is ___________.  Source of Variation  SS df MS F Treatment 150 Error 4020 Total 23\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \mathrm { df } & \text { MS } & F \\\hline \text { Treatment } & 150 & & & \\\hline \text { Error } & 40 & 20 & & \\\hline \text { Total } & & 23 & & \\\hline\end{array}

A)20
B)60
C)800
D)2
E)200
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69
For the following ANOVA table, the MS Error value is ___________.  Source of Variation  SS df MS F Treatment 4 Error 360 Total 44016\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \mathrm { df } & \text { MS } & F \\\hline \text { Treatment } & & 4 & & \\\hline \text { Error } & 360 & & & \\\hline \text { Total } & 440 & 16 & & \\\hline\end{array}

A)4,320
B)372
C)348
D)30
E)4
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70
Data from a completely randomized design are shown in the following table.  Treatment Level 123272627262229232127242326\begin{array}{l}\text { Treatment Level }\\\begin{array} { | c | c | c | } \hline 1 & 2 & 3 \\\hline 27 & 26 & 27 \\\hline 26 & 22 & 29 \\\hline 23 & 21 & 27 \\\hline 24 & 23 & 26 \\\hline\end{array}\end{array} For a one-way ANOVA using α\alpha = 0.05, the appropriate decision is ________.

A)do not reject the null hypothesis μ\mu 1 \geμ\mu 2 \geμ\mu 3
B)do not reject the null hypothesis μ\mu 1 \le μ\mu 2 \leμ\mu 3
C)reject the null hypothesis μ\mu 1= μ\mu 2= μ\mu 3
D)reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neq μ\mu 3
E)do not reject the null hypothesis μ\mu 1 \neq μ\mu 2 \neq 0 μ\mu 3
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71
Posteriori pairwise comparisons are only made in situations where ______________.

A)there was a significant F value and it is after the experiment
B)there was not a significant F value and it is after the experiment
C)there was a significant F value and it is before the experiment
D)the analyst wants to compare any two samples after the experiment
E)there was not a significant F value and it is before the experiment
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72
For the following ANOVA table, the critical value of the studentized range distribution using α\alpha = 0.01 is ______.  Source of Variation  SS  df  MS F Treatrnent 0.123320.061651.566311 Error 0.5904150.03936 Total 0.713717\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatrnent } & 0.1233 & 2 & 0.06165 & 1.566311 \\\hline \text { Error } & 0.5904 & 15 & 0.03936 & \\\hline \text { Total } & 0.7137 & 17 & & \\\hline\end{array}

A)3.01
B)3.67
C)4.17
D)4.83
E)5.25
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73
For the following ANOVA table, the MS Treatment value is ___________.  Source of Variation  SS  df  MS F Treatment 4 Error 360 Total 44016\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatment } & & 4 & & \\\hline \text { Error } & 360 & & & \\\hline \text { Total } & 440 & 16 & & \\\hline\end{array}

A)20
B)200
C)76
D)84
E)360
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74
Data from a completely randomized design are shown in the following table.  Treatment Level 123272627262229232127242326\begin{array}{l}\text { Treatment Level }\\\begin{array} { | c | c | c | } \hline 1 & 2 & 3 \\\hline 27 & 26 & 27 \\\hline 26 & 22 & 29 \\\hline 23 & 21 & 27 \\\hline 24 & 23 & 26 \\\hline\end{array}\end{array} For a one-way ANOVA, the Between Sum of Squares (SSC is ________.

A)36.17
B)28.75
C)64.92
D)18.03
E)28.04
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75
Data from a completely randomized design are shown in the following table.  Treatment Level 123272627262229232127242326\begin{array}{l}\text { Treatment Level }\\\begin{array} { | c | c | c | } \hline 1 & 2 & 3 \\\hline 27 & 26 & 27 \\\hline 26 & 22 & 29 \\\hline 23 & 21 & 27 \\\hline 24 & 23 & 26 \\\hline\end{array}\end{array} For a one-way ANOVA, the Error Sum of Squares (SSE)is ________.

A)36.17
B)28.75
C)64.92
D)18.03
E)28.04
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76
Data from a completely randomized design are shown in the following table.  Treatment Level 123272627262229232127242326\begin{array}{l}\text { Treatment Level }\\\begin{array} { | c | c | c | } \hline 1 & 2 & 3 \\\hline 27 & 26 & 27 \\\hline 26 & 22 & 29 \\\hline 23 & 21 & 27 \\\hline 24 & 23 & 26 \\\hline\end{array}\end{array} For a one-way ANOVA using α\alpha = 0.05, the observed F value is ________.

A)5.66
B)3.19
C)18.08
D)4.34
E)8.98
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77
For the following ANOVA table, the critical value of the studentized range distribution using α\alpha = 0.05 is ______.  Source of Variation  SS  df  MS F Treatment 36.17218.085.66 Error 28.7593.19 Total 64.9211\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatment } & 36.17 & 2 & 18.08 & 5.66 \\\hline \text { Error } & 28.75 & 9 & 3.19 & \\\hline \text { Total } & 64.92 & 11 & & \\\hline\end{array}

A)1.86
B)3.95
C)9.17
D)1.65
E)1.79
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78
For the following ANOVA table, the observed F value is ___________.  Source of Variation  SS df MS F Treatment 4 Error 360 Total 44016\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \mathrm { df } & \text { MS } & F \\\hline \text { Treatment } & & 4 & & \\\hline \text { Error } & 360 & & & \\\hline \text { Total } & 440 & 16 & & \\\hline\end{array}

A)0.67
B)1.50
C)6.00
D)5.00
E)4.00
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79
For the following ANOVA table, the dfError value is ___________.  Source of Variation  SS  df  MS F Treatment 4 Error 360 Total 44016\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatment } & & 4 & & \\\hline \text { Error } & 360 & & & \\\hline \text { Total } & 440 & 16 & & \\\hline\end{array}

A)4
B)20
C)12
D)64
E)16
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80
For the following ANOVA table, the MS Treatment value is ___________.  Source of Variation  SS  df  MS F Treatment 150 Error 4020 Total 23\begin{array} { | c | c | c | c | c | } \hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & F \\\hline \text { Treatment } & 150 & & & \\\hline \text { Error } & 40 & 20 & & \\\hline \text { Total } & & 23 & & \\\hline\end{array}

A)150
B)50
C)450
D)3.49
E)40
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Unlock Deck
Unlock for access to all 133 flashcards in this deck.