Deck 11: Experimental Design and Analysis of Variance

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Question
In one-way ANOVA,other factors being equal,the further apart the treatment means are from each other,the more likely we are to reject the null hypothesis associated with the ANOVA F test.
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Question
If the total sum of squares in a one-way analysis of variance is 25 and the treatment sum of squares is 17,then the error sum of squares is?

A)42
B)8
C)-8
D)64
Question
After rejecting the null hypothesis of equal treatments,a researcher decided to compute a 95% confidence interval for the difference between the mean of treatment 1 and mean of treatment 2 based on Tukey's procedure.At After rejecting the null hypothesis of equal treatments,a researcher decided to compute a 95% confidence interval for the difference between the mean of treatment 1 and mean of treatment 2 based on Tukey's procedure.At   = .05,if the confidence interval includes the value of zero,then we can reject the hypothesis that the two population means are equal.<div style=padding-top: 35px> = .05,if the confidence interval includes the value of zero,then we can reject the hypothesis that the two population means are equal.
Question
In a one-way analysis of variance with three treatments,each with five measurements,in which a completely randomized design is used,what is the degree of freedom for treatments?

A)5
B)2
C)4
D)8
Question
Consider the one-way ANOVA table. <strong>Consider the one-way ANOVA table.   What is the treatment mean square?</strong> A)71.297 B).5604 C)1.297 D)213.881 E)9.7 <div style=padding-top: 35px> What is the treatment mean square?

A)71.297
B).5604
C)1.297
D)213.881
E)9.7
Question
Consider the one-way ANOVA table. <strong>Consider the one-way ANOVA table.   What is the mean square error?</strong> A)71.297 B).5604 C)1.297 D)213.8810 E)9.7 <div style=padding-top: 35px> What is the mean square error?

A)71.297
B).5604
C)1.297
D)213.8810
E)9.7
Question
The 95% individual confidence interval for The 95% individual confidence interval for   (treatment mean 1 - treatment mean 2)will always be smaller than the Tukey's 95% simultaneous confidence interval for   .<div style=padding-top: 35px> (treatment mean 1 - treatment mean 2)will always be smaller than the Tukey's 95% simultaneous confidence interval for The 95% individual confidence interval for   (treatment mean 1 - treatment mean 2)will always be smaller than the Tukey's 95% simultaneous confidence interval for   .<div style=padding-top: 35px> .
Question
In one-way ANOVA,a large value of F results when the within-treatment variability is large compared to the between-treatment variability.
Question
A one-way analysis of variance is a method that allows us to estimate and compare the effects of several treatments on a response variable.
Question
In one-way ANOVA,the numerator of the F statistic is an estimate of the population variance based on within-treatment variation.
Question
The experiment wise α\alpha for the 95% individual confidence interval for  The experiment wise  \alpha  for the 95% individual confidence interval for   (treatment mean 1 - treatment mean 2)will always be smaller than the experiment wise  \alpha  for Tukey's 95% simultaneous confidence interval for  <div style=padding-top: 35px>  (treatment mean 1 - treatment mean 2)will always be smaller than the experiment wise α\alpha for Tukey's 95% simultaneous confidence interval for  The experiment wise  \alpha  for the 95% individual confidence interval for   (treatment mean 1 - treatment mean 2)will always be smaller than the experiment wise  \alpha  for Tukey's 95% simultaneous confidence interval for  <div style=padding-top: 35px>
Question
The error sum of squares measures the between-treatment variability.
Question
Experimental data is collected so that the values of the dependent variables are set before the values of the independent variable are observed.
Question
In one-way ANOVA,the numerator degrees of freedom equals the number of samples being compared.
Question
In a completely randomized (one-way)ANOVA,other things equal as the sample means get closer to each other the probability of rejecting the null hypothesis decreases.
Question
In one-way ANOVA,as the between-treatment variation decreases,the probability of rejecting the null hypothesis increases.
Question
In a one-way analysis of variance with three treatments,each with five measurements,in which a completely randomized design is used,what is the degree of freedom for error?

A)6
B)8
C)2
D)12
Question
When using a randomized block design the interaction effect between the block and treatment factors cannot be separated from the error term.
Question
A balanced complete factorial experiment is an experiment in which we select samples of varying sizes.
Question
Different levels of a factor are called

A)Treatments
B)Variables
C)Responses
D)Observations
Question
The degrees of freedom treatment (between group variation)of a completely randomized design (one-way)ANOVA test with 4 groups and 15 observations per each group is:

A)3
B)56
C)59
D)14
E)4
Question
The advantage of the randomized block design over the completely randomized design is that we are comparing the treatments by using ________ experimental units.

A)Randomly selected
B)The same
C)Different
D)Representative
E)Equally timed
Question
In one-way ANOVA,the treatment sum of squares equals:

A)SSTO - SS (error)- SS (interaction)
B)SSTO - SS (factor 1)- SSE
C)SSTO - SS (interaction)- SS (factor 1)- SS (factor 2)
D)SSTO - SS (factor 1)- SS (factor 2)
E)SSTO - SS (error)
Question
The degrees of freedom error for a randomized block design ANOVA test with 4 treatments and 5 blocks is:

A)3
B)4
C)20
D)19
E)12
Question
Which of the following is not an assumption for one-way analysis of variance?

A)The p populations of values of the response variable associated with the treatments have equal variances.
B)The samples of experimental units associated with the treatments are randomly selected.
C)The experimental units associated with the treatments are independent samples.
D)The number of sampled observations must be equal for all p treatments.
E)The distribution of the response variable is normal for all treatments.
Question
Which one of the following is not an assumption of one-way analysis of variance?

A)Random selection of samples from each population.
B)Equality of the population variances.
C)Equality of the population means.
D)Samples selected from each treatment population all have normal distributions.
Question
Consider the one-way ANOVA table. <strong>Consider the one-way ANOVA table.   How many groups (treatment levels)are included in the study?</strong> A)3 B)4 C)6 D)20 E)24 <div style=padding-top: 35px> How many groups (treatment levels)are included in the study?

A)3
B)4
C)6
D)20
E)24
Question
When computing a confidence interval for the difference between two means,the width of the (1 - α\alpha )confidence interval based on Tukey's procedure will be __________ the width of the (1 - α\alpha )individual confidence interval based on t statistic.

A)Greater than
B)Less than
C)Same as
D)Sometimes greater than sometimes less than
Question
Consider the one-way ANOVA table. <strong>Consider the one-way ANOVA table.   If there are an equal number of observations in each group,then each group (treatment level)consists of ______ observations.</strong> A)3 B)4 C)6 D)20 E)24 <div style=padding-top: 35px> If there are an equal number of observations in each group,then each group (treatment level)consists of ______ observations.

A)3
B)4
C)6
D)20
E)24
Question
When using a completely randomized design (one - way analysis of variance),the calculated F statistic will decrease

A)The variability among the groups decreases relative to the variability within the groups
B)The total variability increases
C)The total variability decreases
D)The variability among the groups increases relative to the variability within the groups
Question
The degrees of freedom error (within group variation)of a completely randomized design (one-way)ANOVA test with 4 groups and 15 observations per each group is:

A)3
B)56
C)59
D)14
E)4
Question
In a completely randomized ANOVA,other things equal as the sample means get closer to each other,the probability of rejecting the null hypothesis:

A)Decreases.
B)Increases.
C)Is unaffected.
Question
In a completely randomized (one-way)analysis of variance problem with c groups and a total of n observations in all groups,the variance between groups is equal to:

A)(Total sum of squares)- (Sum of squares within columns)
B)(Sum of squares between columns)/(c-1)
C)(Total sum of squares)- [(Sum of squares within columns)/(n-c)]
D)[(Total sum of squares)/(n-1)] - [(Sum of squares between columns)/(c-1)]
Question
In randomized block ANOVA,the sum of squares for factor 1 equals:

A)SSTO - SS (error)- SS (interaction)
B)SSTO - SS (factor 2)- SSE
C)SSTO - SS (interaction)- SS (factor 2)
D)SSTO - SS (factor 2)
E)SSTO - SS (error)
Question
After analyzing a data set using one-way ANOVA model,the same data is analyzed using the randomized block design ANOVA model.SS (Treatment)in the one way ANOVA model is _______________ the SS (Treatment)in the randomized block design ANOVA model.

A)Always equal to
B)Always greater than
C)Always less than
D)Sometimes greater than
Question
When computing individual confidence intervals using the t statistic for all possible pairwise comparison of means,the experimentwise error rate will be:

A)Equal to α\alpha
B)Less than α\alpha
C)Greater than α\alpha
Question
A sum of squares that measures the variability among the sample means is referred to as:

A)Treatment sum of squares
B)Error sum of squares
C)Sum of squares within-treatment
D)Total sum of squares
E)Interaction sum of squares
Question
When we compute 100 (1 - α\alpha )confidence intervals,the value of α\alpha is called the

A)comparisonwise error rate
B)Tukey simultaneous error rate
C)experimentwise error rate
D)pairwise error rate
Question
A sum of squares that measures the total amount of variability in the observed values of the response variable is referred to as:

A)Treatment sum of squares
B)Error sum of squares
C)Sum of squares within-treatment
D)Total sum of squares
E)Interaction sum of squares
Question
When computing confidence intervals using Tukey's procedure for all possible pairwise comparison of means,the experimentwise error rate will be

A)Equal to α\alpha
B)Less than α\alpha
C)Greater than α\alpha
Question
<strong>  The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. At a significance level of .05,we would:</strong> A)Not be able to reject the null hypothesis of equal population means. B)Reject the null hypothesis of equal population means. C)Reject or fail to reject depending on the value of the t statistic. D)Not be able to decide whether or not to reject the null hypothesis due to insufficient information. <div style=padding-top: 35px> The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. At a significance level of .05,we would:

A)Not be able to reject the null hypothesis of equal population means.
B)Reject the null hypothesis of equal population means.
C)Reject or fail to reject depending on the value of the t statistic.
D)Not be able to decide whether or not to reject the null hypothesis due to insufficient information.
Question
We have just performed a one-way ANOVA on a given set of data and rejected the null hypothesis for the ANOVA F test.Assume that we are able to perform a randomized block design ANOVA on the same data.For the randomized block design ANOVA,the null hypothesis for equal treatments will ______ be rejected.

A)Always
B)Sometimes
C)Never
Question
_____ simultaneous confidence intervals test all of the pairwise differences between means respectively while controlling the overall Type I error.

A)Randomized
B)Tukey's
C)Covariate
D)Interacting
Question
In performing a one-way ANOVA _________ measures the variability of the observed values around their respective means by summing the squared differences between each observed value of the response,and its corresponding treatment mean.

A)SS Error
B)SS Treatment
C)SS Total
D)SS Treatment/ SS Error
Question
Looking at four different diets,a researcher randomly assigned 20 equally overweight women into each of the four diets.What are the degrees of freedom for the error?

A)20
B)4
C)3
D)19
E)16
Question
Looking at four different diets,a researcher randomly assigned 20 equally overweight women into each of the four diets.What are the degrees of freedom for the treatments?

A)20
B)4
C)3
D)19
E)16
Question
The dependent variable,the variable of interest in an experiment,is also called ___________ variable.

A)Categorical
B)Regression
C)Response
D)Factor
Question
In performing a one-way ANOVA,the _________ is the between group variance.

A)MS Error
B)MS Treatment
C)SS Error
D)SS Treatment
Question
_____ refers to applying a treatment to more than one experimental unit.

A)Randomization
B)Balanced experiment
C)One-way ANOVA
D)Replication
Question
We have just performed a one-way ANOVA on a given set of data and did not reject the null hypothesis for the ANOVA F test.Assume that we are able to perform a randomized block design ANOVA on the same data.For the randomized block design ANOVA,the null hypothesis for equal treatments will ______ be rejected.

A)Always
B)Sometimes
C)Never
Question
Looking at four different diets,a researcher randomly assigned 20 equally overweight women into each of the four diets.What are the degrees of freedom for the confidence intervals?

A)20
B)4
C)3
D)19
E)16
Question
In one-way ANOVA,the total sum of squares equal to _______________________.

A)Treatment SS plus Error SS
B)Treatment SS minus Error SS
C)Treatment SS * Error SS
D)Treatment SS/Error SS
Question
In a ___________________ experimental design,independent random samples of experimental units are assigned to the treatments.

A)One-way ANOVA
B)Two-way ANOVA
C)Randomized block
D)Balanced complete factorial
Question
<strong>  The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. What is the total number of observations for all brands of vacuum cleaners (total sample size)?</strong> A)14 B)17 C)18 D)19 E)20 <div style=padding-top: 35px> The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. What is the total number of observations for all brands of vacuum cleaners (total sample size)?

A)14
B)17
C)18
D)19
E)20
Question
<strong>  The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. Use the information above and determine an individual 95% confidence interval for   .The mean and sample sizes for brand 1 and brand 2 are as follows:   <sub>1</sub> = 2.95,   <sub>2</sub> = 2.28,n<sub>1</sub> = 4 and n<sub>2</sub> = 5.</strong> A).2013 to 1.1387 B).2852 to 1.0547 C)-.228 to 1.5680 D).4515 to .8885 E)It cannot be determined with the information given. <div style=padding-top: 35px> The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. Use the information above and determine an individual 95% confidence interval for <strong>  The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. Use the information above and determine an individual 95% confidence interval for   .The mean and sample sizes for brand 1 and brand 2 are as follows:   <sub>1</sub> = 2.95,   <sub>2</sub> = 2.28,n<sub>1</sub> = 4 and n<sub>2</sub> = 5.</strong> A).2013 to 1.1387 B).2852 to 1.0547 C)-.228 to 1.5680 D).4515 to .8885 E)It cannot be determined with the information given. <div style=padding-top: 35px> .The mean and sample sizes for brand 1 and brand 2 are as follows: <strong>  The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. Use the information above and determine an individual 95% confidence interval for   .The mean and sample sizes for brand 1 and brand 2 are as follows:   <sub>1</sub> = 2.95,   <sub>2</sub> = 2.28,n<sub>1</sub> = 4 and n<sub>2</sub> = 5.</strong> A).2013 to 1.1387 B).2852 to 1.0547 C)-.228 to 1.5680 D).4515 to .8885 E)It cannot be determined with the information given. <div style=padding-top: 35px> 1 = 2.95, <strong>  The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. Use the information above and determine an individual 95% confidence interval for   .The mean and sample sizes for brand 1 and brand 2 are as follows:   <sub>1</sub> = 2.95,   <sub>2</sub> = 2.28,n<sub>1</sub> = 4 and n<sub>2</sub> = 5.</strong> A).2013 to 1.1387 B).2852 to 1.0547 C)-.228 to 1.5680 D).4515 to .8885 E)It cannot be determined with the information given. <div style=padding-top: 35px> 2 = 2.28,n1 = 4 and n2 = 5.

A).2013 to 1.1387
B).2852 to 1.0547
C)-.228 to 1.5680
D).4515 to .8885
E)It cannot be determined with the information given.
Question
In a one way ANOVA table,the ___________ the value of MSE,the higher the probability of rejecting the hypothesis that all treatment means are equal.

A)Closer to 1
B)Closer to 0
C)Larger
D)Smaller
Question
Looking at four different diets,a researcher randomly assigned 20 equally overweight women into each of the four diets.What are the degrees of freedom total?

A)20
B)4
C)3
D)19
E)16
Question
<strong>  The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. At a significance level of .05,the null hypothesis for the ANOVA F test is rejected.Analysis of the Tukey's simultaneous confidence intervals shows that at the significance level (experimentwise)of .05 we would conclude that</strong> A)all four brands of vacuum cleaners differ from each other in terms of their performance. B)brand 1 differs from brand 2,and brand 2 differs from brand 3 while the rest of the vacuum cleaner pairs do not differ from each other in terms of their performance. C)brand 1 differs from brand 2,and brand 3 differs from brands 1,2 and 4,while the rest of the vacuum cleaner pairs do not differ from each other in terms of their performance. D)only brand 3 differs from the other three brands (brands 1,2 and 3),while the rest of the vacuum cleaner pairs do not differ from each other in terms of their performance. E)none of the four brands of vacuum cleaners differ from each other in terms of their performance. <div style=padding-top: 35px> The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. At a significance level of .05,the null hypothesis for the ANOVA F test is rejected.Analysis of the Tukey's simultaneous confidence intervals shows that at the significance level (experimentwise)of .05 we would conclude that

A)all four brands of vacuum cleaners differ from each other in terms of their performance.
B)brand 1 differs from brand 2,and brand 2 differs from brand 3 while the rest of the vacuum cleaner pairs do not differ from each other in terms of their performance.
C)brand 1 differs from brand 2,and brand 3 differs from brands 1,2 and 4,while the rest of the vacuum cleaner pairs do not differ from each other in terms of their performance.
D)only brand 3 differs from the other three brands (brands 1,2 and 3),while the rest of the vacuum cleaner pairs do not differ from each other in terms of their performance.
E)none of the four brands of vacuum cleaners differ from each other in terms of their performance.
Question
The F-test for testing the difference between means is equal to ratio of Mean Square _____________ over Mean Square __________________.

A)Treatment,Error
B)Error,Treatment
C)Treatment,Total
D)Error,Total
Question
A _____ design,is an experimental design that compares "v" treatments by using "d" blocks,where each block is used exactly once to measure the effect of each treatment.

A)One-way ANOVA
B)Two-way ANOVA
C)Randomized block
D)Balanced complete factorial
Question
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What are the degrees of freedom for blocks?</strong> A)12 B)4 C)2 D)3 <div style=padding-top: 35px> Consider the randomized block design with 4 blocks and 3 treatments given above. What are the degrees of freedom for blocks?

A)12
B)4
C)2
D)3
Question
The ___________________ units are the entities (objects,people,etc. )to which the treatments are assigned.

A)Variable
B)Block
C)Experimental
D)Random
Question
 <strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. Test H<sub>0</sub>: there is no difference between block effects at  \alpha  = .05</strong> A)Reject H<sub>0</sub> B)Fail to reject H<sub>0</sub> <div style=padding-top: 35px>
Consider the randomized block design with 4 blocks and 3 treatments given above. Test H0: there is no difference between block effects at α\alpha = .05

A)Reject H0
B)Fail to reject H0
Question
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What are the degrees of freedom for error?</strong> A)4 B)3 C)12 D)6 <div style=padding-top: 35px> Consider the randomized block design with 4 blocks and 3 treatments given above. What are the degrees of freedom for error?

A)4
B)3
C)12
D)6
Question
Find an individual 95 percent confidence interval for <strong>Find an individual 95 percent confidence interval for   where   <sub>1</sub> = 33.98,   <sub>2</sub> = 36.56,and MSE = 0.669.There were 15 observations total and 3 treatments.Assume that the number of observations in each treatment is equal.</strong> A)(-3.68 -1.48) B)(-3.71 -1.45) C)(-3.10 -2.06) D)(-3.38 -1.78) <div style=padding-top: 35px> where <strong>Find an individual 95 percent confidence interval for   where   <sub>1</sub> = 33.98,   <sub>2</sub> = 36.56,and MSE = 0.669.There were 15 observations total and 3 treatments.Assume that the number of observations in each treatment is equal.</strong> A)(-3.68 -1.48) B)(-3.71 -1.45) C)(-3.10 -2.06) D)(-3.38 -1.78) <div style=padding-top: 35px> 1 = 33.98, <strong>Find an individual 95 percent confidence interval for   where   <sub>1</sub> = 33.98,   <sub>2</sub> = 36.56,and MSE = 0.669.There were 15 observations total and 3 treatments.Assume that the number of observations in each treatment is equal.</strong> A)(-3.68 -1.48) B)(-3.71 -1.45) C)(-3.10 -2.06) D)(-3.38 -1.78) <div style=padding-top: 35px> 2 = 36.56,and MSE = 0.669.There were 15 observations total and 3 treatments.Assume that the number of observations in each treatment is equal.

A)(-3.68 -1.48)
B)(-3.71 -1.45)
C)(-3.10 -2.06)
D)(-3.38 -1.78)
Question
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the value of the F statistic for blocks?</strong> A)0.75 B)0.90 C)0.30 D)0.60 <div style=padding-top: 35px> Consider the randomized block design with 4 blocks and 3 treatments given above. What is the value of the F statistic for blocks?

A)0.75
B)0.90
C)0.30
D)0.60
Question
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the block sum of squares?</strong> A)15 B)2 C)3 D)10 <div style=padding-top: 35px> Consider the randomized block design with 4 blocks and 3 treatments given above. What is the block sum of squares?

A)15
B)2
C)3
D)10
Question
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the error sum of squares?</strong> A)15 B)2 C)3 D)10 <div style=padding-top: 35px> Consider the randomized block design with 4 blocks and 3 treatments given above. What is the error sum of squares?

A)15
B)2
C)3
D)10
Question
Find Tukey's simultaneous 95 percent confidence interval for <strong>Find Tukey's simultaneous 95 percent confidence interval for   where   <sub>C</sub> = 51.5,   <sub>B</sub> = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group.</strong> A)(-6.41 -2.19) B)(-8.30 -.299) C)(-7.28 -1.32) D)(-13.63 5.03) <div style=padding-top: 35px> where <strong>Find Tukey's simultaneous 95 percent confidence interval for   where   <sub>C</sub> = 51.5,   <sub>B</sub> = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group.</strong> A)(-6.41 -2.19) B)(-8.30 -.299) C)(-7.28 -1.32) D)(-13.63 5.03) <div style=padding-top: 35px> C = 51.5, <strong>Find Tukey's simultaneous 95 percent confidence interval for   where   <sub>C</sub> = 51.5,   <sub>B</sub> = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group.</strong> A)(-6.41 -2.19) B)(-8.30 -.299) C)(-7.28 -1.32) D)(-13.63 5.03) <div style=padding-top: 35px> B = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group.

A)(-6.41 -2.19)
B)(-8.30 -.299)
C)(-7.28 -1.32)
D)(-13.63 5.03)
Question
Consider the following one-way ANOVA table. <strong>Consider the following one-way ANOVA table.   What is the value of the F-statistic?</strong> A)19.08 B)9.79 C)127.22 D)17.46 <div style=padding-top: 35px> What is the value of the F-statistic?

A)19.08
B)9.79
C)127.22
D)17.46
Question
Find an individual 95 percent confidence interval for <strong>Find an individual 95 percent confidence interval for   where   <sub>C</sub> = 51.5,   <sub>B</sub> = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group.</strong> A)(-7.25 -1.35) B)(-6.41 -2.19) C)(-5.35 -3.25) D)(-7.28 -1.32) <div style=padding-top: 35px> where <strong>Find an individual 95 percent confidence interval for   where   <sub>C</sub> = 51.5,   <sub>B</sub> = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group.</strong> A)(-7.25 -1.35) B)(-6.41 -2.19) C)(-5.35 -3.25) D)(-7.28 -1.32) <div style=padding-top: 35px> C = 51.5, <strong>Find an individual 95 percent confidence interval for   where   <sub>C</sub> = 51.5,   <sub>B</sub> = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group.</strong> A)(-7.25 -1.35) B)(-6.41 -2.19) C)(-5.35 -3.25) D)(-7.28 -1.32) <div style=padding-top: 35px> B = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group.

A)(-7.25 -1.35)
B)(-6.41 -2.19)
C)(-5.35 -3.25)
D)(-7.28 -1.32)
Question
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the mean square error?</strong> A)3.00 B)6.25 C)0.83 D)1.67 <div style=padding-top: 35px> Consider the randomized block design with 4 blocks and 3 treatments given above. What is the mean square error?

A)3.00
B)6.25
C)0.83
D)1.67
Question
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the block mean square?</strong> A)2 B)1 C)3 D)0.75 <div style=padding-top: 35px> Consider the randomized block design with 4 blocks and 3 treatments given above. What is the block mean square?

A)2
B)1
C)3
D)0.75
Question
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the treatment sum of squares?</strong> A)15 B)2 C)3 D)10 <div style=padding-top: 35px> Consider the randomized block design with 4 blocks and 3 treatments given above. What is the treatment sum of squares?

A)15
B)2
C)3
D)10
Question
In a one-way analysis of variance with three treatments,each with five measurements,in which a completely randomized design is used,compute the F statistic where the sum of squares treatment is 17.0493 and the sum of squares error is 8.028.

A)12.74
B)0.078
C)10.62
D)5.31
Question
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the total sum of squares?</strong> A)15 B)2 C)3 D)10 <div style=padding-top: 35px> Consider the randomized block design with 4 blocks and 3 treatments given above. What is the total sum of squares?

A)15
B)2
C)3
D)10
Question
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What are the degrees of freedom for treatments?</strong> A)12 B)4 C)2 D)3 <div style=padding-top: 35px> Consider the randomized block design with 4 blocks and 3 treatments given above. What are the degrees of freedom for treatments?

A)12
B)4
C)2
D)3
Question
The variable of interest in an experiment is referred to as the __________ variable.

A)Categorical
B)Regression
C)Response
D)Factor
Question
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the treatment mean square?</strong> A)2 B)1 C)3 D)0.67 <div style=padding-top: 35px> Consider the randomized block design with 4 blocks and 3 treatments given above. What is the treatment mean square?

A)2
B)1
C)3
D)0.67
Question
In general,a Tukey simultaneous 100 (1 - <strong>In general,a Tukey simultaneous 100 (1 -   )percent confidence interval is _____ than the corresponding individual 100 (1 -   )percent confidence interval.</strong> A)Wider B)Narrower C)No different D)Two times more <div style=padding-top: 35px> )percent confidence interval is _____ than the corresponding individual 100 (1 - <strong>In general,a Tukey simultaneous 100 (1 -   )percent confidence interval is _____ than the corresponding individual 100 (1 -   )percent confidence interval.</strong> A)Wider B)Narrower C)No different D)Two times more <div style=padding-top: 35px> )percent confidence interval.

A)Wider
B)Narrower
C)No different
D)Two times more
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Deck 11: Experimental Design and Analysis of Variance
1
In one-way ANOVA,other factors being equal,the further apart the treatment means are from each other,the more likely we are to reject the null hypothesis associated with the ANOVA F test.
True
2
If the total sum of squares in a one-way analysis of variance is 25 and the treatment sum of squares is 17,then the error sum of squares is?

A)42
B)8
C)-8
D)64
B
3
After rejecting the null hypothesis of equal treatments,a researcher decided to compute a 95% confidence interval for the difference between the mean of treatment 1 and mean of treatment 2 based on Tukey's procedure.At After rejecting the null hypothesis of equal treatments,a researcher decided to compute a 95% confidence interval for the difference between the mean of treatment 1 and mean of treatment 2 based on Tukey's procedure.At   = .05,if the confidence interval includes the value of zero,then we can reject the hypothesis that the two population means are equal. = .05,if the confidence interval includes the value of zero,then we can reject the hypothesis that the two population means are equal.
False
4
In a one-way analysis of variance with three treatments,each with five measurements,in which a completely randomized design is used,what is the degree of freedom for treatments?

A)5
B)2
C)4
D)8
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5
Consider the one-way ANOVA table. <strong>Consider the one-way ANOVA table.   What is the treatment mean square?</strong> A)71.297 B).5604 C)1.297 D)213.881 E)9.7 What is the treatment mean square?

A)71.297
B).5604
C)1.297
D)213.881
E)9.7
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6
Consider the one-way ANOVA table. <strong>Consider the one-way ANOVA table.   What is the mean square error?</strong> A)71.297 B).5604 C)1.297 D)213.8810 E)9.7 What is the mean square error?

A)71.297
B).5604
C)1.297
D)213.8810
E)9.7
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7
The 95% individual confidence interval for The 95% individual confidence interval for   (treatment mean 1 - treatment mean 2)will always be smaller than the Tukey's 95% simultaneous confidence interval for   . (treatment mean 1 - treatment mean 2)will always be smaller than the Tukey's 95% simultaneous confidence interval for The 95% individual confidence interval for   (treatment mean 1 - treatment mean 2)will always be smaller than the Tukey's 95% simultaneous confidence interval for   . .
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8
In one-way ANOVA,a large value of F results when the within-treatment variability is large compared to the between-treatment variability.
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9
A one-way analysis of variance is a method that allows us to estimate and compare the effects of several treatments on a response variable.
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10
In one-way ANOVA,the numerator of the F statistic is an estimate of the population variance based on within-treatment variation.
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11
The experiment wise α\alpha for the 95% individual confidence interval for  The experiment wise  \alpha  for the 95% individual confidence interval for   (treatment mean 1 - treatment mean 2)will always be smaller than the experiment wise  \alpha  for Tukey's 95% simultaneous confidence interval for   (treatment mean 1 - treatment mean 2)will always be smaller than the experiment wise α\alpha for Tukey's 95% simultaneous confidence interval for  The experiment wise  \alpha  for the 95% individual confidence interval for   (treatment mean 1 - treatment mean 2)will always be smaller than the experiment wise  \alpha  for Tukey's 95% simultaneous confidence interval for
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12
The error sum of squares measures the between-treatment variability.
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13
Experimental data is collected so that the values of the dependent variables are set before the values of the independent variable are observed.
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14
In one-way ANOVA,the numerator degrees of freedom equals the number of samples being compared.
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15
In a completely randomized (one-way)ANOVA,other things equal as the sample means get closer to each other the probability of rejecting the null hypothesis decreases.
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16
In one-way ANOVA,as the between-treatment variation decreases,the probability of rejecting the null hypothesis increases.
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17
In a one-way analysis of variance with three treatments,each with five measurements,in which a completely randomized design is used,what is the degree of freedom for error?

A)6
B)8
C)2
D)12
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18
When using a randomized block design the interaction effect between the block and treatment factors cannot be separated from the error term.
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19
A balanced complete factorial experiment is an experiment in which we select samples of varying sizes.
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20
Different levels of a factor are called

A)Treatments
B)Variables
C)Responses
D)Observations
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21
The degrees of freedom treatment (between group variation)of a completely randomized design (one-way)ANOVA test with 4 groups and 15 observations per each group is:

A)3
B)56
C)59
D)14
E)4
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22
The advantage of the randomized block design over the completely randomized design is that we are comparing the treatments by using ________ experimental units.

A)Randomly selected
B)The same
C)Different
D)Representative
E)Equally timed
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23
In one-way ANOVA,the treatment sum of squares equals:

A)SSTO - SS (error)- SS (interaction)
B)SSTO - SS (factor 1)- SSE
C)SSTO - SS (interaction)- SS (factor 1)- SS (factor 2)
D)SSTO - SS (factor 1)- SS (factor 2)
E)SSTO - SS (error)
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24
The degrees of freedom error for a randomized block design ANOVA test with 4 treatments and 5 blocks is:

A)3
B)4
C)20
D)19
E)12
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25
Which of the following is not an assumption for one-way analysis of variance?

A)The p populations of values of the response variable associated with the treatments have equal variances.
B)The samples of experimental units associated with the treatments are randomly selected.
C)The experimental units associated with the treatments are independent samples.
D)The number of sampled observations must be equal for all p treatments.
E)The distribution of the response variable is normal for all treatments.
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26
Which one of the following is not an assumption of one-way analysis of variance?

A)Random selection of samples from each population.
B)Equality of the population variances.
C)Equality of the population means.
D)Samples selected from each treatment population all have normal distributions.
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27
Consider the one-way ANOVA table. <strong>Consider the one-way ANOVA table.   How many groups (treatment levels)are included in the study?</strong> A)3 B)4 C)6 D)20 E)24 How many groups (treatment levels)are included in the study?

A)3
B)4
C)6
D)20
E)24
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28
When computing a confidence interval for the difference between two means,the width of the (1 - α\alpha )confidence interval based on Tukey's procedure will be __________ the width of the (1 - α\alpha )individual confidence interval based on t statistic.

A)Greater than
B)Less than
C)Same as
D)Sometimes greater than sometimes less than
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29
Consider the one-way ANOVA table. <strong>Consider the one-way ANOVA table.   If there are an equal number of observations in each group,then each group (treatment level)consists of ______ observations.</strong> A)3 B)4 C)6 D)20 E)24 If there are an equal number of observations in each group,then each group (treatment level)consists of ______ observations.

A)3
B)4
C)6
D)20
E)24
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30
When using a completely randomized design (one - way analysis of variance),the calculated F statistic will decrease

A)The variability among the groups decreases relative to the variability within the groups
B)The total variability increases
C)The total variability decreases
D)The variability among the groups increases relative to the variability within the groups
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31
The degrees of freedom error (within group variation)of a completely randomized design (one-way)ANOVA test with 4 groups and 15 observations per each group is:

A)3
B)56
C)59
D)14
E)4
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32
In a completely randomized ANOVA,other things equal as the sample means get closer to each other,the probability of rejecting the null hypothesis:

A)Decreases.
B)Increases.
C)Is unaffected.
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33
In a completely randomized (one-way)analysis of variance problem with c groups and a total of n observations in all groups,the variance between groups is equal to:

A)(Total sum of squares)- (Sum of squares within columns)
B)(Sum of squares between columns)/(c-1)
C)(Total sum of squares)- [(Sum of squares within columns)/(n-c)]
D)[(Total sum of squares)/(n-1)] - [(Sum of squares between columns)/(c-1)]
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34
In randomized block ANOVA,the sum of squares for factor 1 equals:

A)SSTO - SS (error)- SS (interaction)
B)SSTO - SS (factor 2)- SSE
C)SSTO - SS (interaction)- SS (factor 2)
D)SSTO - SS (factor 2)
E)SSTO - SS (error)
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35
After analyzing a data set using one-way ANOVA model,the same data is analyzed using the randomized block design ANOVA model.SS (Treatment)in the one way ANOVA model is _______________ the SS (Treatment)in the randomized block design ANOVA model.

A)Always equal to
B)Always greater than
C)Always less than
D)Sometimes greater than
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36
When computing individual confidence intervals using the t statistic for all possible pairwise comparison of means,the experimentwise error rate will be:

A)Equal to α\alpha
B)Less than α\alpha
C)Greater than α\alpha
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37
A sum of squares that measures the variability among the sample means is referred to as:

A)Treatment sum of squares
B)Error sum of squares
C)Sum of squares within-treatment
D)Total sum of squares
E)Interaction sum of squares
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38
When we compute 100 (1 - α\alpha )confidence intervals,the value of α\alpha is called the

A)comparisonwise error rate
B)Tukey simultaneous error rate
C)experimentwise error rate
D)pairwise error rate
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39
A sum of squares that measures the total amount of variability in the observed values of the response variable is referred to as:

A)Treatment sum of squares
B)Error sum of squares
C)Sum of squares within-treatment
D)Total sum of squares
E)Interaction sum of squares
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40
When computing confidence intervals using Tukey's procedure for all possible pairwise comparison of means,the experimentwise error rate will be

A)Equal to α\alpha
B)Less than α\alpha
C)Greater than α\alpha
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41
<strong>  The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. At a significance level of .05,we would:</strong> A)Not be able to reject the null hypothesis of equal population means. B)Reject the null hypothesis of equal population means. C)Reject or fail to reject depending on the value of the t statistic. D)Not be able to decide whether or not to reject the null hypothesis due to insufficient information. The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. At a significance level of .05,we would:

A)Not be able to reject the null hypothesis of equal population means.
B)Reject the null hypothesis of equal population means.
C)Reject or fail to reject depending on the value of the t statistic.
D)Not be able to decide whether or not to reject the null hypothesis due to insufficient information.
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42
We have just performed a one-way ANOVA on a given set of data and rejected the null hypothesis for the ANOVA F test.Assume that we are able to perform a randomized block design ANOVA on the same data.For the randomized block design ANOVA,the null hypothesis for equal treatments will ______ be rejected.

A)Always
B)Sometimes
C)Never
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43
_____ simultaneous confidence intervals test all of the pairwise differences between means respectively while controlling the overall Type I error.

A)Randomized
B)Tukey's
C)Covariate
D)Interacting
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44
In performing a one-way ANOVA _________ measures the variability of the observed values around their respective means by summing the squared differences between each observed value of the response,and its corresponding treatment mean.

A)SS Error
B)SS Treatment
C)SS Total
D)SS Treatment/ SS Error
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45
Looking at four different diets,a researcher randomly assigned 20 equally overweight women into each of the four diets.What are the degrees of freedom for the error?

A)20
B)4
C)3
D)19
E)16
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46
Looking at four different diets,a researcher randomly assigned 20 equally overweight women into each of the four diets.What are the degrees of freedom for the treatments?

A)20
B)4
C)3
D)19
E)16
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47
The dependent variable,the variable of interest in an experiment,is also called ___________ variable.

A)Categorical
B)Regression
C)Response
D)Factor
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48
In performing a one-way ANOVA,the _________ is the between group variance.

A)MS Error
B)MS Treatment
C)SS Error
D)SS Treatment
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49
_____ refers to applying a treatment to more than one experimental unit.

A)Randomization
B)Balanced experiment
C)One-way ANOVA
D)Replication
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50
We have just performed a one-way ANOVA on a given set of data and did not reject the null hypothesis for the ANOVA F test.Assume that we are able to perform a randomized block design ANOVA on the same data.For the randomized block design ANOVA,the null hypothesis for equal treatments will ______ be rejected.

A)Always
B)Sometimes
C)Never
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51
Looking at four different diets,a researcher randomly assigned 20 equally overweight women into each of the four diets.What are the degrees of freedom for the confidence intervals?

A)20
B)4
C)3
D)19
E)16
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52
In one-way ANOVA,the total sum of squares equal to _______________________.

A)Treatment SS plus Error SS
B)Treatment SS minus Error SS
C)Treatment SS * Error SS
D)Treatment SS/Error SS
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53
In a ___________________ experimental design,independent random samples of experimental units are assigned to the treatments.

A)One-way ANOVA
B)Two-way ANOVA
C)Randomized block
D)Balanced complete factorial
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54
<strong>  The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. What is the total number of observations for all brands of vacuum cleaners (total sample size)?</strong> A)14 B)17 C)18 D)19 E)20 The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. What is the total number of observations for all brands of vacuum cleaners (total sample size)?

A)14
B)17
C)18
D)19
E)20
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55
<strong>  The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. Use the information above and determine an individual 95% confidence interval for   .The mean and sample sizes for brand 1 and brand 2 are as follows:   <sub>1</sub> = 2.95,   <sub>2</sub> = 2.28,n<sub>1</sub> = 4 and n<sub>2</sub> = 5.</strong> A).2013 to 1.1387 B).2852 to 1.0547 C)-.228 to 1.5680 D).4515 to .8885 E)It cannot be determined with the information given. The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. Use the information above and determine an individual 95% confidence interval for <strong>  The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. Use the information above and determine an individual 95% confidence interval for   .The mean and sample sizes for brand 1 and brand 2 are as follows:   <sub>1</sub> = 2.95,   <sub>2</sub> = 2.28,n<sub>1</sub> = 4 and n<sub>2</sub> = 5.</strong> A).2013 to 1.1387 B).2852 to 1.0547 C)-.228 to 1.5680 D).4515 to .8885 E)It cannot be determined with the information given. .The mean and sample sizes for brand 1 and brand 2 are as follows: <strong>  The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. Use the information above and determine an individual 95% confidence interval for   .The mean and sample sizes for brand 1 and brand 2 are as follows:   <sub>1</sub> = 2.95,   <sub>2</sub> = 2.28,n<sub>1</sub> = 4 and n<sub>2</sub> = 5.</strong> A).2013 to 1.1387 B).2852 to 1.0547 C)-.228 to 1.5680 D).4515 to .8885 E)It cannot be determined with the information given. 1 = 2.95, <strong>  The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. Use the information above and determine an individual 95% confidence interval for   .The mean and sample sizes for brand 1 and brand 2 are as follows:   <sub>1</sub> = 2.95,   <sub>2</sub> = 2.28,n<sub>1</sub> = 4 and n<sub>2</sub> = 5.</strong> A).2013 to 1.1387 B).2852 to 1.0547 C)-.228 to 1.5680 D).4515 to .8885 E)It cannot be determined with the information given. 2 = 2.28,n1 = 4 and n2 = 5.

A).2013 to 1.1387
B).2852 to 1.0547
C)-.228 to 1.5680
D).4515 to .8885
E)It cannot be determined with the information given.
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56
In a one way ANOVA table,the ___________ the value of MSE,the higher the probability of rejecting the hypothesis that all treatment means are equal.

A)Closer to 1
B)Closer to 0
C)Larger
D)Smaller
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57
Looking at four different diets,a researcher randomly assigned 20 equally overweight women into each of the four diets.What are the degrees of freedom total?

A)20
B)4
C)3
D)19
E)16
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58
<strong>  The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. At a significance level of .05,the null hypothesis for the ANOVA F test is rejected.Analysis of the Tukey's simultaneous confidence intervals shows that at the significance level (experimentwise)of .05 we would conclude that</strong> A)all four brands of vacuum cleaners differ from each other in terms of their performance. B)brand 1 differs from brand 2,and brand 2 differs from brand 3 while the rest of the vacuum cleaner pairs do not differ from each other in terms of their performance. C)brand 1 differs from brand 2,and brand 3 differs from brands 1,2 and 4,while the rest of the vacuum cleaner pairs do not differ from each other in terms of their performance. D)only brand 3 differs from the other three brands (brands 1,2 and 3),while the rest of the vacuum cleaner pairs do not differ from each other in terms of their performance. E)none of the four brands of vacuum cleaners differ from each other in terms of their performance. The Excel/Mega-Stat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners.The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. At a significance level of .05,the null hypothesis for the ANOVA F test is rejected.Analysis of the Tukey's simultaneous confidence intervals shows that at the significance level (experimentwise)of .05 we would conclude that

A)all four brands of vacuum cleaners differ from each other in terms of their performance.
B)brand 1 differs from brand 2,and brand 2 differs from brand 3 while the rest of the vacuum cleaner pairs do not differ from each other in terms of their performance.
C)brand 1 differs from brand 2,and brand 3 differs from brands 1,2 and 4,while the rest of the vacuum cleaner pairs do not differ from each other in terms of their performance.
D)only brand 3 differs from the other three brands (brands 1,2 and 3),while the rest of the vacuum cleaner pairs do not differ from each other in terms of their performance.
E)none of the four brands of vacuum cleaners differ from each other in terms of their performance.
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59
The F-test for testing the difference between means is equal to ratio of Mean Square _____________ over Mean Square __________________.

A)Treatment,Error
B)Error,Treatment
C)Treatment,Total
D)Error,Total
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60
A _____ design,is an experimental design that compares "v" treatments by using "d" blocks,where each block is used exactly once to measure the effect of each treatment.

A)One-way ANOVA
B)Two-way ANOVA
C)Randomized block
D)Balanced complete factorial
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61
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What are the degrees of freedom for blocks?</strong> A)12 B)4 C)2 D)3 Consider the randomized block design with 4 blocks and 3 treatments given above. What are the degrees of freedom for blocks?

A)12
B)4
C)2
D)3
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62
The ___________________ units are the entities (objects,people,etc. )to which the treatments are assigned.

A)Variable
B)Block
C)Experimental
D)Random
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63
 <strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. Test H<sub>0</sub>: there is no difference between block effects at  \alpha  = .05</strong> A)Reject H<sub>0</sub> B)Fail to reject H<sub>0</sub>
Consider the randomized block design with 4 blocks and 3 treatments given above. Test H0: there is no difference between block effects at α\alpha = .05

A)Reject H0
B)Fail to reject H0
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64
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What are the degrees of freedom for error?</strong> A)4 B)3 C)12 D)6 Consider the randomized block design with 4 blocks and 3 treatments given above. What are the degrees of freedom for error?

A)4
B)3
C)12
D)6
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65
Find an individual 95 percent confidence interval for <strong>Find an individual 95 percent confidence interval for   where   <sub>1</sub> = 33.98,   <sub>2</sub> = 36.56,and MSE = 0.669.There were 15 observations total and 3 treatments.Assume that the number of observations in each treatment is equal.</strong> A)(-3.68 -1.48) B)(-3.71 -1.45) C)(-3.10 -2.06) D)(-3.38 -1.78) where <strong>Find an individual 95 percent confidence interval for   where   <sub>1</sub> = 33.98,   <sub>2</sub> = 36.56,and MSE = 0.669.There were 15 observations total and 3 treatments.Assume that the number of observations in each treatment is equal.</strong> A)(-3.68 -1.48) B)(-3.71 -1.45) C)(-3.10 -2.06) D)(-3.38 -1.78) 1 = 33.98, <strong>Find an individual 95 percent confidence interval for   where   <sub>1</sub> = 33.98,   <sub>2</sub> = 36.56,and MSE = 0.669.There were 15 observations total and 3 treatments.Assume that the number of observations in each treatment is equal.</strong> A)(-3.68 -1.48) B)(-3.71 -1.45) C)(-3.10 -2.06) D)(-3.38 -1.78) 2 = 36.56,and MSE = 0.669.There were 15 observations total and 3 treatments.Assume that the number of observations in each treatment is equal.

A)(-3.68 -1.48)
B)(-3.71 -1.45)
C)(-3.10 -2.06)
D)(-3.38 -1.78)
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66
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the value of the F statistic for blocks?</strong> A)0.75 B)0.90 C)0.30 D)0.60 Consider the randomized block design with 4 blocks and 3 treatments given above. What is the value of the F statistic for blocks?

A)0.75
B)0.90
C)0.30
D)0.60
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67
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the block sum of squares?</strong> A)15 B)2 C)3 D)10 Consider the randomized block design with 4 blocks and 3 treatments given above. What is the block sum of squares?

A)15
B)2
C)3
D)10
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68
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the error sum of squares?</strong> A)15 B)2 C)3 D)10 Consider the randomized block design with 4 blocks and 3 treatments given above. What is the error sum of squares?

A)15
B)2
C)3
D)10
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69
Find Tukey's simultaneous 95 percent confidence interval for <strong>Find Tukey's simultaneous 95 percent confidence interval for   where   <sub>C</sub> = 51.5,   <sub>B</sub> = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group.</strong> A)(-6.41 -2.19) B)(-8.30 -.299) C)(-7.28 -1.32) D)(-13.63 5.03) where <strong>Find Tukey's simultaneous 95 percent confidence interval for   where   <sub>C</sub> = 51.5,   <sub>B</sub> = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group.</strong> A)(-6.41 -2.19) B)(-8.30 -.299) C)(-7.28 -1.32) D)(-13.63 5.03) C = 51.5, <strong>Find Tukey's simultaneous 95 percent confidence interval for   where   <sub>C</sub> = 51.5,   <sub>B</sub> = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group.</strong> A)(-6.41 -2.19) B)(-8.30 -.299) C)(-7.28 -1.32) D)(-13.63 5.03) B = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group.

A)(-6.41 -2.19)
B)(-8.30 -.299)
C)(-7.28 -1.32)
D)(-13.63 5.03)
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70
Consider the following one-way ANOVA table. <strong>Consider the following one-way ANOVA table.   What is the value of the F-statistic?</strong> A)19.08 B)9.79 C)127.22 D)17.46 What is the value of the F-statistic?

A)19.08
B)9.79
C)127.22
D)17.46
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71
Find an individual 95 percent confidence interval for <strong>Find an individual 95 percent confidence interval for   where   <sub>C</sub> = 51.5,   <sub>B</sub> = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group.</strong> A)(-7.25 -1.35) B)(-6.41 -2.19) C)(-5.35 -3.25) D)(-7.28 -1.32) where <strong>Find an individual 95 percent confidence interval for   where   <sub>C</sub> = 51.5,   <sub>B</sub> = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group.</strong> A)(-7.25 -1.35) B)(-6.41 -2.19) C)(-5.35 -3.25) D)(-7.28 -1.32) C = 51.5, <strong>Find an individual 95 percent confidence interval for   where   <sub>C</sub> = 51.5,   <sub>B</sub> = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group.</strong> A)(-7.25 -1.35) B)(-6.41 -2.19) C)(-5.35 -3.25) D)(-7.28 -1.32) B = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group.

A)(-7.25 -1.35)
B)(-6.41 -2.19)
C)(-5.35 -3.25)
D)(-7.28 -1.32)
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72
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the mean square error?</strong> A)3.00 B)6.25 C)0.83 D)1.67 Consider the randomized block design with 4 blocks and 3 treatments given above. What is the mean square error?

A)3.00
B)6.25
C)0.83
D)1.67
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73
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the block mean square?</strong> A)2 B)1 C)3 D)0.75 Consider the randomized block design with 4 blocks and 3 treatments given above. What is the block mean square?

A)2
B)1
C)3
D)0.75
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74
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the treatment sum of squares?</strong> A)15 B)2 C)3 D)10 Consider the randomized block design with 4 blocks and 3 treatments given above. What is the treatment sum of squares?

A)15
B)2
C)3
D)10
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75
In a one-way analysis of variance with three treatments,each with five measurements,in which a completely randomized design is used,compute the F statistic where the sum of squares treatment is 17.0493 and the sum of squares error is 8.028.

A)12.74
B)0.078
C)10.62
D)5.31
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76
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the total sum of squares?</strong> A)15 B)2 C)3 D)10 Consider the randomized block design with 4 blocks and 3 treatments given above. What is the total sum of squares?

A)15
B)2
C)3
D)10
Unlock Deck
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77
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What are the degrees of freedom for treatments?</strong> A)12 B)4 C)2 D)3 Consider the randomized block design with 4 blocks and 3 treatments given above. What are the degrees of freedom for treatments?

A)12
B)4
C)2
D)3
Unlock Deck
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78
The variable of interest in an experiment is referred to as the __________ variable.

A)Categorical
B)Regression
C)Response
D)Factor
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k this deck
79
<strong>  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the treatment mean square?</strong> A)2 B)1 C)3 D)0.67 Consider the randomized block design with 4 blocks and 3 treatments given above. What is the treatment mean square?

A)2
B)1
C)3
D)0.67
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k this deck
80
In general,a Tukey simultaneous 100 (1 - <strong>In general,a Tukey simultaneous 100 (1 -   )percent confidence interval is _____ than the corresponding individual 100 (1 -   )percent confidence interval.</strong> A)Wider B)Narrower C)No different D)Two times more )percent confidence interval is _____ than the corresponding individual 100 (1 - <strong>In general,a Tukey simultaneous 100 (1 -   )percent confidence interval is _____ than the corresponding individual 100 (1 -   )percent confidence interval.</strong> A)Wider B)Narrower C)No different D)Two times more )percent confidence interval.

A)Wider
B)Narrower
C)No different
D)Two times more
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Unlock Deck
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