Deck 13: Analysis of Variance Anova

Full screen (f)
exit full mode
Question
BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour 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 catalogue websites to each design style. Analysis of Kevin's data yielded the following ANOVA table:  <strong>BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour 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 catalogue websites to each design style. Analysis of Kevin's data yielded the following ANOVA table:   Using  \alpha = 0.05, the appropriate decision is ___.</strong> A) inconclusive B) reject the null hypothesis  \mu <sub>1</sub> \neq\mu <sub>2</sub> \neq\mu <sub>3</sub> C) reject the null hypothesis  \mu <sub>1</sub> = \mu <sub>2</sub> = \mu <sub>3</sub> D) do not reject the null hypothesis  \mu <sub>1</sub>  \ge\mu <sub>2</sub>  \ge\mu <sub>3</sub> E) do not reject the null hypothesis  \mu <sub>1</sub>  \le\mu <sub>2</sub> \le   \mu <sub>3</sub> <div style=padding-top: 35px>  Using α\alpha = 0.05, the appropriate decision is ___.

A) inconclusive
B) reject the null hypothesis μ\mu 1 \neqμ\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 \geμ\mu 2 \geμ\mu 3
E) do not reject the null hypothesis μ\mu 1 \leμ\mu 2 \le μ\mu 3
Use Space or
up arrow
down arrow
to flip the card.
Question
In analysis of variance tests a F distribution forms the basis for making the decisions.
Question
Analysis of variance may be used to test the differences in the means of more than two independent populations.
Question
BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (colour neon, old world, and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Kevin's data yielded the following ANOVA table:  <strong>BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (colour neon, old world, and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Kevin's data yielded the following ANOVA table:   Using  \alpha  = 0.05, the observed F value is ___.</strong> A) 0.5022 B) 0.1333 C) 1.9911 D) 17.5100 E) 22.4567 <div style=padding-top: 35px>  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
The statistical methods of analysis of variance assume that the populations are normally distributed.
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:  <strong>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:   Using  \alpha = 0.05, the critical F value is ___.</strong> A) 13.68 B) 19.43 C) 3.59 D) 19.45 E) 3.68 <div style=padding-top: 35px>  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
Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level 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 \neq μ\mu 2 \neq μ\mu 3 \neqμ\mu 4

D) μ\mu 1 = μ\mu 2 = μ\mu 3 = μ\mu 4

E) μ\mu 1 \neq μ\mu 2= μ\mu 3 = μ\mu 4
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:  <strong>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:   Using  \alpha = 0.05, the observed F value is ___.</strong> A) 16738.1 B) 1769.75 C) 33476.19 D) 26546.18 E) 9.457912 <div style=padding-top: 35px>  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
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:  <strong>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:   Using  \alpha  = 0.05, the appropriate decision is ___.</strong> A) reject the null hypothesis  \mu <sub>1</sub> = \mu <sub>2</sub>= \mu <sub>3</sub> B) reject the null hypothesis  \mu <sub>1</sub>  \neq\mu <sub>2</sub>  \neq\mu <sub>3</sub> C) do not reject the null hypothesis  \mu <sub>1</sub>  \ge   \mu <sub>2</sub>  \ge\mu <sub>3</sub> D) do not reject the null hypothesis  \mu <sub>1</sub>  \le\mu <sub>2</sub>  \le   \mu <sub>3</sub> E) inconclusive <div style=padding-top: 35px>  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 \neqμ\mu 2 \neqμ\mu 3
C) do not reject the null hypothesis μ\mu 1 \ge μ\mu 2 \geμ\mu 3
D) do not reject the null hypothesis μ\mu 1 \leμ\mu 2 \le μ\mu 3
E) inconclusive
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:  <strong>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:   Using  \alpha  = 0.05, the observed F value is ___.</strong> A) 0.5022 B) 0.1333 C) 1.9911 D) 7.5000 E) 1.000 <div style=padding-top: 35px>  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
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:  <strong>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:   Using  \alpha  = 0.05, the appropriate decision is ___.</strong> A) do not reject the null hypothesis  \mu <sub>1</sub>  \neq\mu <sub>2</sub>  \neq   \mu <sub>3</sub> B) do not reject the null hypothesis  \mu <sub>1</sub> = \mu <sub>2</sub>=  \mu <sub>3</sub> C) reject the null hypothesis  \mu <sub>1</sub>  \ge   \mu <sub>2</sub>  \ge\mu <sub>3</sub> D) reject the null hypothesis  \mu <sub>1</sub>  \le   \mu <sub>2</sub>  \le\mu <sub>3</sub> E) inclusive <div style=padding-top: 35px>  Using α\alpha = 0.05, the appropriate decision is ___.

A) do not reject the null hypothesis μ\mu 1 \neqμ\mu 2 \neq μ\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 \leμ\mu 3
E) inclusive
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:  <strong>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:   Using  \alpha  = 0.05, the critical F value is ___.</strong> A) 13.68 B) 19.43 C) 3.59 D) 19.45 E) 3.68 <div style=padding-top: 35px>  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
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.
Question
BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (colour neon, old world, and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Kevin's data yielded the following ANOVA table:  <strong>BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (colour neon, old world, and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Kevin's data yielded the following ANOVA table:   Using  \alpha  = 0.05, the critical F value is ___.</strong> A) 3.57 B) 19.43 C) 3.68 D) 19.45 E) 2.85 <div style=padding-top: 35px>  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
The statistical methods of analysis of variance assume equal sample means.
Question
Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level 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:  <strong>Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level 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:   Using \alpha  = 0.01, the appropriate decision is ___.</strong> A) reject the null hypothesis  \mu <sub>1</sub>= \mu <sub>2</sub>= \mu <sub>3</sub>= \mu <sub>4</sub>  B) reject the null hypothesis  \mu <sub>1</sub> \neq   \mu <sub>2</sub>  \neq   \mu <sub>3</sub> \neq   \mu <sub>4</sub>  C) do not reject the null hypothesis  \mu <sub>1</sub>= \mu <sub>2</sub>= \mu <sub>3</sub>= \mu <sub>4</sub>= \mu <sub>5</sub>  D) do not reject the null hypothesis  \mu <sub>1</sub> \neq   \mu <sub>2</sub>  \neq   \mu <sub>3</sub> \neq   \mu <sub>4</sub> \neq\mu <sub>5</sub>  E) do nothing <div style=padding-top: 35px>  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 \neq μ\mu 3 \neq μ\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 \neq μ\mu 3 \neq μ\mu 4 \neqμ\mu 5

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. Kathleen's null hypothesis is ___.

A) μ\mu 1 = μ\mu 2 = μ\mu 3
B) μ\mu 1 \neq μ\mu 2 \neqμ\mu 3
C) μ\mu 1 \ge μ\mu 2 \geμ\mu 3
D) μ\mu 1 \leμ\mu 2 \leμ\mu 3
E) μ\mu 1 \le μ\mu 2μ\mu 3
Question
BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (colour neon, old world, and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Kevin's data yielded the following ANOVA table:  <strong>BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (colour neon, old world, and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Kevin's data yielded the following ANOVA table:   Using \alpha  = 0.05, the appropriate decision is ___.</strong> A) do not reject the null hypothesis  \mu <sub>1</sub>=  \mu <sub>2</sub>=  \mu <sub>3</sub> B) do not reject the null hypothesis  \mu <sub>1</sub>  \neq\mu <sub>2</sub>  \neq   \mu <sub>3</sub> C) reject the null hypothesis  \mu <sub>1</sub>  \ge\mu <sub>2</sub>  \ge\mu <sub>3</sub> D) reject the null hypothesis  \mu <sub>1</sub>  \le   \mu <sub>2</sub>  \le\mu <sub>3</sub> E) do nothing <div style=padding-top: 35px>  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 \neqμ\mu 2 \neq μ\mu 3
C) reject the null hypothesis μ\mu 1 \geμ\mu 2 \geμ\mu 3
D) reject the null hypothesis μ\mu 1 \le μ\mu 2 \leμ\mu 3
E) do nothing
Question
BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour 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 catalogue websites to each design style. Kevin's null hypothesis is ___.

A) μ\mu 1 \geμ\mu 2 \ge μ\mu 3
B) μ\mu 1 \neqμ\mu 2 \neqμ\mu 3
C) μ\mu 1 = μ\mu 2 = μ\mu 3
D) μ\mu 1 \leμ\mu 2 \le μ\mu 3
E) μ\mu 1 \le μ\mu 2μ\mu 3
Question
Determining the table value for the F distribution requires two values for degrees of freedom.
Question
For the following ANOVA table, the dfError value is ___. <strong>For the following ANOVA table, the df<sub>Error</sub> value is ___.  </strong> A) 4 B) 20 C) 12 D) 64 E) 16 <div style=padding-top: 35px>

A) 4
B) 20
C) 12
D) 64
E) 16
Question
For the following ANOVA table, the MS Error value is ___. <strong>For the following ANOVA table, the MS Error value is ___.  </strong> A) 20 B) 60 C) 800 D) 2 E) 200 <div style=padding-top: 35px>

A) 20
B) 60
C) 800
D) 2
E) 200
Question
For the following ANOVA table, the observed F value is ___. <strong>For the following ANOVA table, the observed F value is ___.  </strong> A) 0.67 B) 1.50 C) 6.00 D) 5.00 E) 4.00 <div style=padding-top: 35px>

A) 0.67
B) 1.50
C) 6.00
D) 5.00
E) 4.00
Question
For the following ANOVA table, the MS Error value is ___. <strong>For the following ANOVA table, the MS Error value is ___.  </strong> A) 4,320 B) 372 C) 348 D) 30 E) 4 <div style=padding-top: 35px>

A) 4,320
B) 372
C) 348
D) 30
E) 4
Question
Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level 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:  <strong>Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI),  theorizes that the discount level 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:   Using  \alpha  = 0.01, the appropriate decision is ___.</strong> A) reject the null hypothesis  \mu <sub>1</sub> = \mu <sub>2</sub> = \mu <sub>3</sub> = \mu <sub>4</sub>  B) reject the null hypothesis  \mu <sub>1</sub> \neq   \mu <sub>2</sub>  \neq   \mu <sub>3</sub> \neq   \mu <sub>4</sub>  C) do not reject the null hypothesis  \mu <sub>1</sub> = \mu <sub>2</sub> = \mu <sub>3</sub> = \mu <sub>4</sub>  D) do not reject the null hypothesis  \mu <sub>1</sub> \neq   \mu <sub>2</sub>  \neq   \mu <sub>3</sub> \neq   \mu <sub>4</sub>  E) do nothing <div style=padding-top: 35px>  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 \neq μ\mu 3 \neq μ\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 \neq μ\mu 2 \neq μ\mu 3 \neq μ\mu 4

E) do nothing
Question
Data on three treatment levels are shown in the following table: <strong>Data on three treatment levels are shown in the following table:   For a one-way ANOVA, the Between Sum of Squares (SSB) is ___.</strong> A) 36.17 B) 28.75 C) 64.92 D) 18.03 E) 28.04 <div style=padding-top: 35px> For a one-way ANOVA, the Between Sum of Squares (SSB) is ___.

A) 36.17
B) 28.75
C) 64.92
D) 18.03
E) 28.04
Question
Data on three treatment levels are shown in the following table: <strong>Data on three treatment levels are shown in the following table:   For a one-way ANOVA, the Error Sum of Squares (SSE) is ___.</strong> A) 36.17 B) 28.75 C) 64.92 D) 18.03 E) 28.04 <div style=padding-top: 35px> 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 on three treatment levels are shown in the following table: <strong>Data on three treatment levels are shown in the following table:   For a one-way ANOVA using  = 0.05, the critical F value is ___.</strong> A) 3.86 B) 3.59 C) 19.38 D) 4.26 E) 6.8 <div style=padding-top: 35px> For a one-way ANOVA using  = 0.05, the critical F value is ___.

A) 3.86
B) 3.59
C) 19.38
D) 4.26
E) 6.8
Question
As director of the employee wellness and productivity program in your company, you are interested in comparing the effects of strength training, aerobic training, and yoga on decreasing rates of injury and absenteeism. The company has 9 divisions with roughly the same number of employees, and you randomly assign 3 divisions to participate in strength training, 3 to aerobic training, and 3 to yoga. Your null hypothesis is ___.

A) μ\mu 1 \neqμ\mu 2 \neqμ\mu 3

B) μ\mu 1 \geμ\mu 2 \ge μ\mu 3

C) μ\mu 1 \le μ\mu 2 \leμ\mu 3

D) μ\mu 1= μ\mu 2= μ\mu 3

E) μ\mu 1 \le μ\mu 2 \geμ\mu 3
Question
Data on three treatment levels are shown in the following table:  <strong>Data on three treatment levels are shown in the following table:   For a one-way ANOVA using  \alpha = 0.05, the observed F value is ___.</strong> A) 5.66 B) 3.19 C) 18.08 D) 4.34 E) 8.98 <div style=padding-top: 35px>  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
As director of the employee wellness and productivity program in your company, you are interested in comparing the effects of strength training, aerobic training, and yoga on decreasing rates of injury and absenteeism. The company has 9 divisions with roughly the same number of employees, and you randomly assign 3 divisions to participate in strength training, 3 to aerobic training, and 3 to yoga. Analysis of the data yielded the following ANOVA table:  <strong>As director of the employee wellness and productivity program in your company, you are interested in comparing the effects of strength training, aerobic training, and yoga on decreasing rates of injury and absenteeism. The company has 9 divisions with roughly the same number of employees, and you randomly assign 3 divisions to participate in strength training, 3 to aerobic training, and 3 to yoga. Analysis of the data yielded the following ANOVA table:   Using  \alpha  = 0.05, the critical F value is ___.</strong> A) 3.68 B) 3.74 C) 4.54 D) 4.60 E) 9.46 <div style=padding-top: 35px>  Using α\alpha = 0.05, the critical F value is ___.

A) 3.68
B) 3.74
C) 4.54
D) 4.60
E) 9.46
Question
For the following ANOVA table, the MS Treatment value is ___. <strong>For the following ANOVA table, the MS Treatment value is ___.  </strong> A) 150 B) 50 C) 450 D) 3.49 E) 40 <div style=padding-top: 35px>

A) 150
B) 50
C) 450
D) 3.49
E) 40
Question
For the following ANOVA table, the observed F value is ___. <strong>For the following ANOVA table, the observed F value is ___.  </strong> A) 0.5625 B) 50 C) 25 D) 0.02 E) 0.09 <div style=padding-top: 35px>

A) 0.5625
B) 50
C) 25
D) 0.02
E) 0.09
Question
As director of the employee wellness and productivity program in your company, you are interested in comparing the effects of strength training, aerobic training, and yoga on decreasing rates of injury and absenteeism. The company has 9 divisions with roughly the same number of employees, and you randomly assign 3 divisions to participate in strength training, 3 to aerobic training, and 3 to yoga. Your alternative hypothesis is ___.

A) μ\mu 1 \neqμ\mu 2 \neqμ\mu 3

B) μ\mu 1 \geμ\mu 2 \ge μ\mu 3

C) μ\mu 1 \le μ\mu 2 \leμ\mu 3

D) μ\mu 1= μ\mu 2= μ\mu 3

E) at least one of the means is different from the others
Question
Data on three treatment levels are shown in the following table:  <strong>Data on three treatment levels are shown in the following table:   For a one-way ANOVA using  \alpha = 0.05, the appropriate decision is ___.</strong> A) do not reject the null hypothesis  \mu <sub>1</sub>  \ge\mu <sub>2</sub>  \ge   \mu <sub>3</sub>  B) do not reject the null hypothesis  \mu <sub>1</sub> \le   \mu <sub>2</sub>  \le\mu <sub>3</sub>  C) reject the null hypothesis  \mu <sub>1</sub>= \mu <sub>2</sub>= \mu <sub>3</sub>  D) reject the null hypothesis  \mu <sub>1</sub> \neq\mu <sub>2</sub> \neq\mu <sub>3</sub>  E) do not reject the null hypothesis  \mu <sub>1</sub> \neq\mu <sub>2</sub> \neq\mu <sub>3</sub> <div style=padding-top: 35px>  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 \ge μ\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 \neqμ\mu 2 \neqμ\mu 3

E) do not reject the null hypothesis μ\mu 1 \neqμ\mu 2 \neqμ\mu 3
Question
For the following ANOVA table, the MS Treatment value is ___. <strong>For the following ANOVA table, the MS Treatment value is ___.  </strong> A) 20 B) 200 C) 76 D) 84 E) 360 <div style=padding-top: 35px>

A) 20
B) 200
C) 76
D) 84
E) 360
Question
Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level 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:  <strong>Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level 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:   Using  \alpha  = 0.01, the critical F value is ___.</strong> A) 5.33 B) 6.21 C) 0.16 D) 5.29 E) 6.89 <div style=padding-top: 35px>  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
Data on three treatment levels are shown in the following table: <strong>Data on three treatment levels are shown in the following table:   For a one-way ANOVA, the Total Sum of Squares (SST) is ___.</strong> A) 36.17 B) 28.75 C) 64.92 D) 18.03 E) 28.04 <div style=padding-top: 35px> 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 level 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:  <strong>Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level 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:   Using  \alpha  = 0.01, the observed F value is ___.</strong> A) 6.2102 B) 0.1610 C) 0.1875 D) 5.3333 E) 4.9873 <div style=padding-top: 35px>  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
For the following ANOVA table, the dfTreatment value is ___. <strong>For the following ANOVA table, the df<sub>Treatment</sub> value is ___.  </strong> A) 3 B) 43 C) 1.15 D) 460 E) 150 <div style=padding-top: 35px>

A) 3
B) 43
C) 1.15
D) 460
E) 150
Question
As director of the employee wellness and productivity program in your company, you are interested in comparing the effects of strength training, aerobic training, and yoga on decreasing rates of injury and absenteeism. The company has 9 divisions with roughly the same number of employees, and you randomly assign 3 divisions to participate in strength training, 3 to aerobic training, and 3 to yoga. Analysis of the data yielded the following ANOVA table:  <strong>As director of the employee wellness and productivity program in your company, you are interested in comparing the effects of strength training, aerobic training, and yoga on decreasing rates of injury and absenteeism. The company has 9 divisions with roughly the same number of employees, and you randomly assign 3 divisions to participate in strength training, 3 to aerobic training, and 3 to yoga. Analysis of the data yielded the following ANOVA table:   Using  \alpha  = 0.05, the observed F value is ___.</strong> A) 60022.37 B) 16738.1 C) 1769.745 D) 9.457912 E) 18 <div style=padding-top: 35px>  Using α\alpha = 0.05, the observed F value is ___.

A) 60022.37
B) 16738.1
C) 1769.745
D) 9.457912
E) 18
Question
As director of the employee wellness and productivity program in your company, you are interested in comparing the effects of strength training, aerobic training, and yoga on decreasing rates of injury and absenteeism. The company has 9 divisions with roughly the same number of employees, and you randomly assign 3 divisions to participate in strength training, 3 to aerobic training, and 3 to yoga. Analysis of the data yielded the following ANOVA table:  <strong>As director of the employee wellness and productivity program in your company, you are interested in comparing the effects of strength training, aerobic training, and yoga on decreasing rates of injury and absenteeism. The company has 9 divisions with roughly the same number of employees, and you randomly assign 3 divisions to participate in strength training, 3 to aerobic training, and 3 to yoga. Analysis of the data yielded the following ANOVA table:   Using  \alpha  = 0.05, the appropriate decision is ___.</strong> A) reject the null hypothesis  \mu <sub>1</sub> \neq\mu <sub>2</sub> \neq\mu <sub>3</sub>  B) do not reject the null hypothesis  \mu <sub>1</sub>  \ge\mu <sub>2</sub>  \ge   \mu <sub>3</sub>  C) reject the null hypothesis  \mu <sub>1</sub>= \mu <sub>2</sub>= \mu <sub>3</sub>  D) do not reject the null hypothesis  \mu <sub>1</sub> \le   \mu <sub>2</sub>  \le\mu <sub>3</sub>  E) inconclusive <div style=padding-top: 35px>  Using α\alpha = 0.05, the appropriate decision is ___.

A) reject the null hypothesis μ\mu 1 \neqμ\mu 2 \neqμ\mu 3

B) do not reject the null hypothesis μ\mu 1 \geμ\mu 2 \ge μ\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 \le μ\mu 2 \leμ\mu 3

E) inconclusive
Question
In an experiment where the means of 6 groups are being tested 2 at a time, ___ tests are conducted. If each test is analyzed using α = 0.01, the probability that at least 1 Type I error will be committed is ___.

A) 12; 0.12
B) 12; 0.88
C) 15; 0.14
D) 15; 0.86
E) 36; 0.30
Question
Complete the following two-factor ANOVA table. Determine the critical F values and reach conclusions about the hypotheses for effects at 5% significance level.
Complete the following two-factor ANOVA table. Determine the critical F values and reach conclusions about the hypotheses for effects at 5% significance level.   <div style=padding-top: 35px>
Question
A large company buys thousands of lightbulbs every year. The company is currently considering four brands of lightbulbs to choose from and wants to investigate if the mean lifetimes of the 4 types of bulbs are the same. The research department randomly selected 7 bulbs of each type and test how long they lasted until they burned out. The research department then analyzed the data and obtained the following ANOVA table:
A large company buys thousands of lightbulbs every year. The company is currently considering four brands of lightbulbs to choose from and wants to investigate if the mean lifetimes of the 4 types of bulbs are the same. The research department randomly selected 7 bulbs of each type and test how long they lasted until they burned out. The research department then analyzed the data and obtained the following ANOVA table:   a) Fill in the blanks of the partially completed ANOVA table. b) At   test whether there are differences in the mean lifetimes of the four brands of lightbulbs.<div style=padding-top: 35px>
a) Fill in the blanks of the partially completed ANOVA table.
b) At A large company buys thousands of lightbulbs every year. The company is currently considering four brands of lightbulbs to choose from and wants to investigate if the mean lifetimes of the 4 types of bulbs are the same. The research department randomly selected 7 bulbs of each type and test how long they lasted until they burned out. The research department then analyzed the data and obtained the following ANOVA table:   a) Fill in the blanks of the partially completed ANOVA table. b) At   test whether there are differences in the mean lifetimes of the four brands of lightbulbs.<div style=padding-top: 35px> test whether there are differences in the mean lifetimes of the four brands of lightbulbs.
Unlock Deck
Sign up to unlock the cards in this deck!
Unlock Deck
Unlock Deck
1/45
auto play flashcards
Play
simple tutorial
Full screen (f)
exit full mode
Deck 13: Analysis of Variance Anova
1
BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour 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 catalogue websites to each design style. Analysis of Kevin's data yielded the following ANOVA table:  <strong>BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour 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 catalogue websites to each design style. Analysis of Kevin's data yielded the following ANOVA table:   Using  \alpha = 0.05, the appropriate decision is ___.</strong> A) inconclusive B) reject the null hypothesis  \mu <sub>1</sub> \neq\mu <sub>2</sub> \neq\mu <sub>3</sub> C) reject the null hypothesis  \mu <sub>1</sub> = \mu <sub>2</sub> = \mu <sub>3</sub> D) do not reject the null hypothesis  \mu <sub>1</sub>  \ge\mu <sub>2</sub>  \ge\mu <sub>3</sub> E) do not reject the null hypothesis  \mu <sub>1</sub>  \le\mu <sub>2</sub> \le   \mu <sub>3</sub>  Using α\alpha = 0.05, the appropriate decision is ___.

A) inconclusive
B) reject the null hypothesis μ\mu 1 \neqμ\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 \geμ\mu 2 \geμ\mu 3
E) do not reject the null hypothesis μ\mu 1 \leμ\mu 2 \le μ\mu 3
reject the null hypothesis μ\mu 1 = μ\mu 2 = μ\mu 3
2
In analysis of variance tests a F distribution forms the basis for making the decisions.
True
3
Analysis of variance may be used to test the differences in the means of more than two independent populations.
True
4
BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (colour neon, old world, and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Kevin's data yielded the following ANOVA table:  <strong>BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (colour neon, old world, and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Kevin's data yielded the following ANOVA table:   Using  \alpha  = 0.05, the observed F value is ___.</strong> A) 0.5022 B) 0.1333 C) 1.9911 D) 17.5100 E) 22.4567  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
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
5
The statistical methods of analysis of variance assume that the populations are normally distributed.
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
6
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:  <strong>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:   Using  \alpha = 0.05, the critical F value is ___.</strong> A) 13.68 B) 19.43 C) 3.59 D) 19.45 E) 3.68  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
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
7
Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level 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 \neq μ\mu 2 \neq μ\mu 3 \neqμ\mu 4

D) μ\mu 1 = μ\mu 2 = μ\mu 3 = μ\mu 4

E) μ\mu 1 \neq μ\mu 2= μ\mu 3 = μ\mu 4
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
8
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:  <strong>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:   Using  \alpha = 0.05, the observed F value is ___.</strong> A) 16738.1 B) 1769.75 C) 33476.19 D) 26546.18 E) 9.457912  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
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
9
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:  <strong>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:   Using  \alpha  = 0.05, the appropriate decision is ___.</strong> A) reject the null hypothesis  \mu <sub>1</sub> = \mu <sub>2</sub>= \mu <sub>3</sub> B) reject the null hypothesis  \mu <sub>1</sub>  \neq\mu <sub>2</sub>  \neq\mu <sub>3</sub> C) do not reject the null hypothesis  \mu <sub>1</sub>  \ge   \mu <sub>2</sub>  \ge\mu <sub>3</sub> D) do not reject the null hypothesis  \mu <sub>1</sub>  \le\mu <sub>2</sub>  \le   \mu <sub>3</sub> E) inconclusive  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 \neqμ\mu 2 \neqμ\mu 3
C) do not reject the null hypothesis μ\mu 1 \ge μ\mu 2 \geμ\mu 3
D) do not reject the null hypothesis μ\mu 1 \leμ\mu 2 \le μ\mu 3
E) inconclusive
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
10
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:  <strong>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:   Using  \alpha  = 0.05, the observed F value is ___.</strong> A) 0.5022 B) 0.1333 C) 1.9911 D) 7.5000 E) 1.000  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
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
11
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:  <strong>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:   Using  \alpha  = 0.05, the appropriate decision is ___.</strong> A) do not reject the null hypothesis  \mu <sub>1</sub>  \neq\mu <sub>2</sub>  \neq   \mu <sub>3</sub> B) do not reject the null hypothesis  \mu <sub>1</sub> = \mu <sub>2</sub>=  \mu <sub>3</sub> C) reject the null hypothesis  \mu <sub>1</sub>  \ge   \mu <sub>2</sub>  \ge\mu <sub>3</sub> D) reject the null hypothesis  \mu <sub>1</sub>  \le   \mu <sub>2</sub>  \le\mu <sub>3</sub> E) inclusive  Using α\alpha = 0.05, the appropriate decision is ___.

A) do not reject the null hypothesis μ\mu 1 \neqμ\mu 2 \neq μ\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 \leμ\mu 3
E) inclusive
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
12
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:  <strong>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:   Using  \alpha  = 0.05, the critical F value is ___.</strong> A) 13.68 B) 19.43 C) 3.59 D) 19.45 E) 3.68  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
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
13
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.
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
14
BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (colour neon, old world, and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Kevin's data yielded the following ANOVA table:  <strong>BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (colour neon, old world, and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Kevin's data yielded the following ANOVA table:   Using  \alpha  = 0.05, the critical F value is ___.</strong> A) 3.57 B) 19.43 C) 3.68 D) 19.45 E) 2.85  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
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
15
The statistical methods of analysis of variance assume equal sample means.
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
16
Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level 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:  <strong>Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level 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:   Using \alpha  = 0.01, the appropriate decision is ___.</strong> A) reject the null hypothesis  \mu <sub>1</sub>= \mu <sub>2</sub>= \mu <sub>3</sub>= \mu <sub>4</sub>  B) reject the null hypothesis  \mu <sub>1</sub> \neq   \mu <sub>2</sub>  \neq   \mu <sub>3</sub> \neq   \mu <sub>4</sub>  C) do not reject the null hypothesis  \mu <sub>1</sub>= \mu <sub>2</sub>= \mu <sub>3</sub>= \mu <sub>4</sub>= \mu <sub>5</sub>  D) do not reject the null hypothesis  \mu <sub>1</sub> \neq   \mu <sub>2</sub>  \neq   \mu <sub>3</sub> \neq   \mu <sub>4</sub> \neq\mu <sub>5</sub>  E) do nothing  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 \neq μ\mu 3 \neq μ\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 \neq μ\mu 3 \neq μ\mu 4 \neqμ\mu 5

E) do nothing
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
17
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 \neqμ\mu 3
C) μ\mu 1 \ge μ\mu 2 \geμ\mu 3
D) μ\mu 1 \leμ\mu 2 \leμ\mu 3
E) μ\mu 1 \le μ\mu 2μ\mu 3
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
18
BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (colour neon, old world, and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Kevin's data yielded the following ANOVA table:  <strong>BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (colour neon, old world, and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Kevin's data yielded the following ANOVA table:   Using \alpha  = 0.05, the appropriate decision is ___.</strong> A) do not reject the null hypothesis  \mu <sub>1</sub>=  \mu <sub>2</sub>=  \mu <sub>3</sub> B) do not reject the null hypothesis  \mu <sub>1</sub>  \neq\mu <sub>2</sub>  \neq   \mu <sub>3</sub> C) reject the null hypothesis  \mu <sub>1</sub>  \ge\mu <sub>2</sub>  \ge\mu <sub>3</sub> D) reject the null hypothesis  \mu <sub>1</sub>  \le   \mu <sub>2</sub>  \le\mu <sub>3</sub> E) do nothing  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 \neqμ\mu 2 \neq μ\mu 3
C) reject the null hypothesis μ\mu 1 \geμ\mu 2 \geμ\mu 3
D) reject the null hypothesis μ\mu 1 \le μ\mu 2 \leμ\mu 3
E) do nothing
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
19
BigShots, Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Kevin Conn, Sales Director, feels that the style (colour 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 catalogue websites to each design style. Kevin's null hypothesis is ___.

A) μ\mu 1 \geμ\mu 2 \ge μ\mu 3
B) μ\mu 1 \neqμ\mu 2 \neqμ\mu 3
C) μ\mu 1 = μ\mu 2 = μ\mu 3
D) μ\mu 1 \leμ\mu 2 \le μ\mu 3
E) μ\mu 1 \le μ\mu 2μ\mu 3
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
20
Determining the table value for the F distribution requires two values for degrees of freedom.
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
21
For the following ANOVA table, the dfError value is ___. <strong>For the following ANOVA table, the df<sub>Error</sub> value is ___.  </strong> A) 4 B) 20 C) 12 D) 64 E) 16

A) 4
B) 20
C) 12
D) 64
E) 16
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
22
For the following ANOVA table, the MS Error value is ___. <strong>For the following ANOVA table, the MS Error value is ___.  </strong> A) 20 B) 60 C) 800 D) 2 E) 200

A) 20
B) 60
C) 800
D) 2
E) 200
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
23
For the following ANOVA table, the observed F value is ___. <strong>For the following ANOVA table, the observed F value is ___.  </strong> A) 0.67 B) 1.50 C) 6.00 D) 5.00 E) 4.00

A) 0.67
B) 1.50
C) 6.00
D) 5.00
E) 4.00
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
24
For the following ANOVA table, the MS Error value is ___. <strong>For the following ANOVA table, the MS Error value is ___.  </strong> A) 4,320 B) 372 C) 348 D) 30 E) 4

A) 4,320
B) 372
C) 348
D) 30
E) 4
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
25
Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level 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:  <strong>Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI),  theorizes that the discount level 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:   Using  \alpha  = 0.01, the appropriate decision is ___.</strong> A) reject the null hypothesis  \mu <sub>1</sub> = \mu <sub>2</sub> = \mu <sub>3</sub> = \mu <sub>4</sub>  B) reject the null hypothesis  \mu <sub>1</sub> \neq   \mu <sub>2</sub>  \neq   \mu <sub>3</sub> \neq   \mu <sub>4</sub>  C) do not reject the null hypothesis  \mu <sub>1</sub> = \mu <sub>2</sub> = \mu <sub>3</sub> = \mu <sub>4</sub>  D) do not reject the null hypothesis  \mu <sub>1</sub> \neq   \mu <sub>2</sub>  \neq   \mu <sub>3</sub> \neq   \mu <sub>4</sub>  E) do nothing  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 \neq μ\mu 3 \neq μ\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 \neq μ\mu 2 \neq μ\mu 3 \neq μ\mu 4

E) do nothing
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
26
Data on three treatment levels are shown in the following table: <strong>Data on three treatment levels are shown in the following table:   For a one-way ANOVA, the Between Sum of Squares (SSB) is ___.</strong> A) 36.17 B) 28.75 C) 64.92 D) 18.03 E) 28.04 For a one-way ANOVA, the Between Sum of Squares (SSB) is ___.

A) 36.17
B) 28.75
C) 64.92
D) 18.03
E) 28.04
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
27
Data on three treatment levels are shown in the following table: <strong>Data on three treatment levels are shown in the following table:   For a one-way ANOVA, the Error Sum of Squares (SSE) is ___.</strong> A) 36.17 B) 28.75 C) 64.92 D) 18.03 E) 28.04 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
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
28
Data on three treatment levels are shown in the following table: <strong>Data on three treatment levels are shown in the following table:   For a one-way ANOVA using  = 0.05, the critical F value is ___.</strong> A) 3.86 B) 3.59 C) 19.38 D) 4.26 E) 6.8 For a one-way ANOVA using  = 0.05, the critical F value is ___.

A) 3.86
B) 3.59
C) 19.38
D) 4.26
E) 6.8
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
29
As director of the employee wellness and productivity program in your company, you are interested in comparing the effects of strength training, aerobic training, and yoga on decreasing rates of injury and absenteeism. The company has 9 divisions with roughly the same number of employees, and you randomly assign 3 divisions to participate in strength training, 3 to aerobic training, and 3 to yoga. Your null hypothesis is ___.

A) μ\mu 1 \neqμ\mu 2 \neqμ\mu 3

B) μ\mu 1 \geμ\mu 2 \ge μ\mu 3

C) μ\mu 1 \le μ\mu 2 \leμ\mu 3

D) μ\mu 1= μ\mu 2= μ\mu 3

E) μ\mu 1 \le μ\mu 2 \geμ\mu 3
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
30
Data on three treatment levels are shown in the following table:  <strong>Data on three treatment levels are shown in the following table:   For a one-way ANOVA using  \alpha = 0.05, the observed F value is ___.</strong> A) 5.66 B) 3.19 C) 18.08 D) 4.34 E) 8.98  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
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
31
As director of the employee wellness and productivity program in your company, you are interested in comparing the effects of strength training, aerobic training, and yoga on decreasing rates of injury and absenteeism. The company has 9 divisions with roughly the same number of employees, and you randomly assign 3 divisions to participate in strength training, 3 to aerobic training, and 3 to yoga. Analysis of the data yielded the following ANOVA table:  <strong>As director of the employee wellness and productivity program in your company, you are interested in comparing the effects of strength training, aerobic training, and yoga on decreasing rates of injury and absenteeism. The company has 9 divisions with roughly the same number of employees, and you randomly assign 3 divisions to participate in strength training, 3 to aerobic training, and 3 to yoga. Analysis of the data yielded the following ANOVA table:   Using  \alpha  = 0.05, the critical F value is ___.</strong> A) 3.68 B) 3.74 C) 4.54 D) 4.60 E) 9.46  Using α\alpha = 0.05, the critical F value is ___.

A) 3.68
B) 3.74
C) 4.54
D) 4.60
E) 9.46
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
32
For the following ANOVA table, the MS Treatment value is ___. <strong>For the following ANOVA table, the MS Treatment value is ___.  </strong> A) 150 B) 50 C) 450 D) 3.49 E) 40

A) 150
B) 50
C) 450
D) 3.49
E) 40
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
33
For the following ANOVA table, the observed F value is ___. <strong>For the following ANOVA table, the observed F value is ___.  </strong> A) 0.5625 B) 50 C) 25 D) 0.02 E) 0.09

A) 0.5625
B) 50
C) 25
D) 0.02
E) 0.09
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
34
As director of the employee wellness and productivity program in your company, you are interested in comparing the effects of strength training, aerobic training, and yoga on decreasing rates of injury and absenteeism. The company has 9 divisions with roughly the same number of employees, and you randomly assign 3 divisions to participate in strength training, 3 to aerobic training, and 3 to yoga. Your alternative hypothesis is ___.

A) μ\mu 1 \neqμ\mu 2 \neqμ\mu 3

B) μ\mu 1 \geμ\mu 2 \ge μ\mu 3

C) μ\mu 1 \le μ\mu 2 \leμ\mu 3

D) μ\mu 1= μ\mu 2= μ\mu 3

E) at least one of the means is different from the others
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
35
Data on three treatment levels are shown in the following table:  <strong>Data on three treatment levels are shown in the following table:   For a one-way ANOVA using  \alpha = 0.05, the appropriate decision is ___.</strong> A) do not reject the null hypothesis  \mu <sub>1</sub>  \ge\mu <sub>2</sub>  \ge   \mu <sub>3</sub>  B) do not reject the null hypothesis  \mu <sub>1</sub> \le   \mu <sub>2</sub>  \le\mu <sub>3</sub>  C) reject the null hypothesis  \mu <sub>1</sub>= \mu <sub>2</sub>= \mu <sub>3</sub>  D) reject the null hypothesis  \mu <sub>1</sub> \neq\mu <sub>2</sub> \neq\mu <sub>3</sub>  E) do not reject the null hypothesis  \mu <sub>1</sub> \neq\mu <sub>2</sub> \neq\mu <sub>3</sub>  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 \ge μ\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 \neqμ\mu 2 \neqμ\mu 3

E) do not reject the null hypothesis μ\mu 1 \neqμ\mu 2 \neqμ\mu 3
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
36
For the following ANOVA table, the MS Treatment value is ___. <strong>For the following ANOVA table, the MS Treatment value is ___.  </strong> A) 20 B) 200 C) 76 D) 84 E) 360

A) 20
B) 200
C) 76
D) 84
E) 360
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
37
Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level 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:  <strong>Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level 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:   Using  \alpha  = 0.01, the critical F value is ___.</strong> A) 5.33 B) 6.21 C) 0.16 D) 5.29 E) 6.89  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
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
38
Data on three treatment levels are shown in the following table: <strong>Data on three treatment levels are shown in the following table:   For a one-way ANOVA, the Total Sum of Squares (SST) is ___.</strong> A) 36.17 B) 28.75 C) 64.92 D) 18.03 E) 28.04 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
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
39
Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level 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:  <strong>Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level 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:   Using  \alpha  = 0.01, the observed F value is ___.</strong> A) 6.2102 B) 0.1610 C) 0.1875 D) 5.3333 E) 4.9873  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
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
40
For the following ANOVA table, the dfTreatment value is ___. <strong>For the following ANOVA table, the df<sub>Treatment</sub> value is ___.  </strong> A) 3 B) 43 C) 1.15 D) 460 E) 150

A) 3
B) 43
C) 1.15
D) 460
E) 150
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
41
As director of the employee wellness and productivity program in your company, you are interested in comparing the effects of strength training, aerobic training, and yoga on decreasing rates of injury and absenteeism. The company has 9 divisions with roughly the same number of employees, and you randomly assign 3 divisions to participate in strength training, 3 to aerobic training, and 3 to yoga. Analysis of the data yielded the following ANOVA table:  <strong>As director of the employee wellness and productivity program in your company, you are interested in comparing the effects of strength training, aerobic training, and yoga on decreasing rates of injury and absenteeism. The company has 9 divisions with roughly the same number of employees, and you randomly assign 3 divisions to participate in strength training, 3 to aerobic training, and 3 to yoga. Analysis of the data yielded the following ANOVA table:   Using  \alpha  = 0.05, the observed F value is ___.</strong> A) 60022.37 B) 16738.1 C) 1769.745 D) 9.457912 E) 18  Using α\alpha = 0.05, the observed F value is ___.

A) 60022.37
B) 16738.1
C) 1769.745
D) 9.457912
E) 18
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
42
As director of the employee wellness and productivity program in your company, you are interested in comparing the effects of strength training, aerobic training, and yoga on decreasing rates of injury and absenteeism. The company has 9 divisions with roughly the same number of employees, and you randomly assign 3 divisions to participate in strength training, 3 to aerobic training, and 3 to yoga. Analysis of the data yielded the following ANOVA table:  <strong>As director of the employee wellness and productivity program in your company, you are interested in comparing the effects of strength training, aerobic training, and yoga on decreasing rates of injury and absenteeism. The company has 9 divisions with roughly the same number of employees, and you randomly assign 3 divisions to participate in strength training, 3 to aerobic training, and 3 to yoga. Analysis of the data yielded the following ANOVA table:   Using  \alpha  = 0.05, the appropriate decision is ___.</strong> A) reject the null hypothesis  \mu <sub>1</sub> \neq\mu <sub>2</sub> \neq\mu <sub>3</sub>  B) do not reject the null hypothesis  \mu <sub>1</sub>  \ge\mu <sub>2</sub>  \ge   \mu <sub>3</sub>  C) reject the null hypothesis  \mu <sub>1</sub>= \mu <sub>2</sub>= \mu <sub>3</sub>  D) do not reject the null hypothesis  \mu <sub>1</sub> \le   \mu <sub>2</sub>  \le\mu <sub>3</sub>  E) inconclusive  Using α\alpha = 0.05, the appropriate decision is ___.

A) reject the null hypothesis μ\mu 1 \neqμ\mu 2 \neqμ\mu 3

B) do not reject the null hypothesis μ\mu 1 \geμ\mu 2 \ge μ\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 \le μ\mu 2 \leμ\mu 3

E) inconclusive
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
43
In an experiment where the means of 6 groups are being tested 2 at a time, ___ tests are conducted. If each test is analyzed using α = 0.01, the probability that at least 1 Type I error will be committed is ___.

A) 12; 0.12
B) 12; 0.88
C) 15; 0.14
D) 15; 0.86
E) 36; 0.30
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
44
Complete the following two-factor ANOVA table. Determine the critical F values and reach conclusions about the hypotheses for effects at 5% significance level.
Complete the following two-factor ANOVA table. Determine the critical F values and reach conclusions about the hypotheses for effects at 5% significance level.
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
45
A large company buys thousands of lightbulbs every year. The company is currently considering four brands of lightbulbs to choose from and wants to investigate if the mean lifetimes of the 4 types of bulbs are the same. The research department randomly selected 7 bulbs of each type and test how long they lasted until they burned out. The research department then analyzed the data and obtained the following ANOVA table:
A large company buys thousands of lightbulbs every year. The company is currently considering four brands of lightbulbs to choose from and wants to investigate if the mean lifetimes of the 4 types of bulbs are the same. The research department randomly selected 7 bulbs of each type and test how long they lasted until they burned out. The research department then analyzed the data and obtained the following ANOVA table:   a) Fill in the blanks of the partially completed ANOVA table. b) At   test whether there are differences in the mean lifetimes of the four brands of lightbulbs.
a) Fill in the blanks of the partially completed ANOVA table.
b) At A large company buys thousands of lightbulbs every year. The company is currently considering four brands of lightbulbs to choose from and wants to investigate if the mean lifetimes of the 4 types of bulbs are the same. The research department randomly selected 7 bulbs of each type and test how long they lasted until they burned out. The research department then analyzed the data and obtained the following ANOVA table:   a) Fill in the blanks of the partially completed ANOVA table. b) At   test whether there are differences in the mean lifetimes of the four brands of lightbulbs. test whether there are differences in the mean lifetimes of the four brands of lightbulbs.
Unlock Deck
Unlock for access to all 45 flashcards in this deck.
Unlock Deck
k this deck
locked card icon
Unlock Deck
Unlock for access to all 45 flashcards in this deck.