Deck 11: Analysis of Variance: One-Way Classification

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The person responsible for developing analysis of variance was Karl Pearson.
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The numerator of an F ratio is a variance.
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In a one-way ANOVA, the total variability is divided into four portions.
Question
The F distribution is skewed.
Question
MStreat is a good estimator of σ\sigma 2, even when the null hypothesis is false.
Question
A priori tests are those that are planned before an ANOVA is calculated.
Question
To compare two means from a three-group data set, use a Tukey Honestly Significant Difference test.
Question
The effect size index, d, is not appropriate for one-way ANOVA data.
Question
Analysis of variance is a null hypothesis statistical testing technique.
Question
The person responsible for developing analysis of variance was William Gosset.
Question
The denominator of an F ratio is a variance.
Question
In a one-way ANOVA, the total variability is divided into three portions.
Question
A sum of squares divided by degrees of freedom is a mean square.
Question
MSerror is a good estimator of σ\sigma 2, even when the null hypothesis is false.
Question
After an ANOVA is calculated and the group means examined, a post hoc test is appropriate.
Question
To compare two means from a three-group data set, use three t tests.
Question
Two effect size indexes, f and d, are appropriate for one-way ANOVA data.
Question
The one-way in one-way analysis of variance means that there is only one independent variable.
Question
The person responsible for developing analysis of variance was Francis Galton.
Question
F values are ratios of two variances.
Question
In a one-way ANOVA, the total variability is divided into two portions.
Question
The F distribution is not a normal distribution.
Question
A sum of squares is a mean square divided by degrees of freedom.
Question
MSerror is a good estimator of σ\sigma 2 when the null hypothesis is true.
Question
After an ANOVA is calculated and the group means examined, an a priori test is appropriate.
Question
A Tukey Honestly Significant Difference test can be used to compare two means from a four-group data set.
Question
The effect size index, f, is appropriate for one-way ANOVA data.
Question
The assumptions of analysis of variance are more numerous than those for the independent samples t test.
Question
Data Set 11-1: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-1: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-1. The null hypothesis should be rejected for an ANOVA on Experiment</strong> A) X B) Y C) Z <div style=padding-top: 35px>

-Refer to Data Set 11-1. The null hypothesis should be rejected for an ANOVA on Experiment

A) X
B) Y
C) Z
Question
Data Set 11-1: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-1: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-1. The denominator of the F ratio would be smallest for an ANOVA on Experiment</strong> A) X B) Y C) Z <div style=padding-top: 35px>

-Refer to Data Set 11-1. The denominator of the F ratio would be smallest for an ANOVA on Experiment

A) X
B) Y
C) Z
Question
Data Set 11-1: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-1: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-1. The null hypothesis is true in Experiment</strong> A) X B) Y C) Z <div style=padding-top: 35px>

-Refer to Data Set 11-1. The null hypothesis is true in Experiment

A) X
B) Y
C) Z
Question
Data Set 11-2: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-2: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-2. The null hypothesis should be rejected for an ANOVA on Experiment</strong> A) X B) Y C) Z <div style=padding-top: 35px>

-Refer to Data Set 11-2. The null hypothesis should be rejected for an ANOVA on Experiment

A) X
B) Y
C) Z
Question
Data Set 11-2: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-2: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-2. The denominator of the F ratio would be largest for an ANOVA onExperiment</strong> A) X B) Y C) Z <div style=padding-top: 35px>

-Refer to Data Set 11-2. The denominator of the F ratio would be largest for an ANOVA onExperiment

A) X
B) Y
C) Z
Question
Data Set 11-2: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-2: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-2. The null hypothesis is true in Experiment</strong> A) X B) Y C) Z D)X and Z <div style=padding-top: 35px>

-Refer to Data Set 11-2. The null hypothesis is true in Experiment

A) X
B) Y
C) Z
D)X and Z
Question
Data Set 11-3: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-3: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-3. The null hypothesis should be rejected for an ANOVA in Experiment</strong> A) X B) Y C) Z <div style=padding-top: 35px>

-Refer to Data Set 11-3. The null hypothesis should be rejected for an ANOVA in Experiment

A) X
B) Y
C) Z
Question
Data Set 11-3: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-3: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-3. The denominator of the F ratio would be largest for an ANOVA inExperiment</strong> A) X B) Y C) Z D)Y and Z <div style=padding-top: 35px>

-Refer to Data Set 11-3. The denominator of the F ratio would be largest for an ANOVA inExperiment

A) X
B) Y
C) Z
D)Y and Z
Question
Data Set 11-3: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-3: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-3. The null hypothesis is true in Experiment</strong> A) X B) Y C) Z D)Y and Z <div style=padding-top: 35px>

-Refer to Data Set 11-3. The null hypothesis is true in Experiment

A) X
B) Y
C) Z
D)Y and Z
Question
Data Set 11-4: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-4: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-4. The null hypothesis should be rejected for an ANOVA in Experiment</strong> A) X B) Y C) Z <div style=padding-top: 35px>

-Refer to Data Set 11-4. The null hypothesis should be rejected for an ANOVA in Experiment

A) X
B) Y
C) Z
Question
Data Set 11-4: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-4: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-4. The denominator of the F ratio would be largest for an ANOVA in Experiment</strong> A) X B) Y C) Z D)Y and Z <div style=padding-top: 35px>

-Refer to Data Set 11-4. The denominator of the F ratio would be largest for an ANOVA in Experiment

A) X
B) Y
C) Z
D)Y and Z
Question
Data Set 11-4: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-4: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-4. The null hypothesis is true in Experiment</strong> A) X B) Y C) Z D) X and Y <div style=padding-top: 35px>

-Refer to Data Set 11-4. The null hypothesis is true in Experiment

A) X
B) Y
C) Z
D) X and Y
Question
Data Set 11-5:  Group A  Group B  Group C 81315101517\begin{array} { r r c } \text { Group A } & \text { Group B } & \text { Group C } \\\hline8 & 13 & 15 \\10 & 15 & 17\end{array}

-The three components of the error variance in Data Set 11-5 are

A) about equal
B) very unequal
C) some are equal and some are unequal
D) not enough information is given.
Question
Data Set 11-5:  Group A  Group B  Group C 81315101517\begin{array} { r r c } \text { Group A } & \text { Group B } & \text { Group C } \\\hline8 & 13 & 15 \\10 & 15 & 17\end{array}

-Descriptions for Groups A, B, and C in Data Set 11-5 follow. For which would the ANOVA described in Chapter 11 not be appropriate?

A) 10 mg, 20 mg, and 100 mg of a new drug, 6 rats
B) Yale, Princeton, and Harvard, 6 students
C) before, after, and three months later, 2 rats
D) all of the descriptive alternatives are correct.
Question
Data Set 11-5:  Group A  Group B  Group C 81315101517\begin{array} { r r c } \text { Group A } & \text { Group B } & \text { Group C } \\\hline8 & 13 & 15 \\10 & 15 & 17\end{array}

-The largest HSD in Data Set 11-5 would be found in comparing

A) A vs B
B) A vs C
C) B vs C
D) cannot be determined from the information given.
Question
Data Set 11-5:  Group A  Group B  Group C 81315101517\begin{array} { r r c } \text { Group A } & \text { Group B } & \text { Group C } \\\hline8 & 13 & 15 \\10 & 15 & 17\end{array}

-Suppose each of the scores in Data Set 11-5 was changed by adding 1 to it. SSerror will then be

A) smaller
B) larger
C) the same size
D) cannot be determined from the information given.
Question
Data Set 11-6: Walking is valuable exercise. Does the size of the place you live have any relationship to how much walking you do? The following data (in miles per day) are entirely hypothetical, but represent a reasonable guess. (The place names for this problem are ordered from large to small and are from particular sources-can you identify a source or two?)  Gotham  Middletown  Grovers Corners ΣX162432ΣX27060140N4128\begin{array} { l c c c } & \text { Gotham } & \text { Middletown } & \text { Grovers Corners } \\ \Sigma \mathrm { X } & 16 & 24 & 32 \\\Sigma \mathrm { X } ^ { 2 } & 70 & 60 & 140 \\N & 4 & 12 & 8\end{array}

-For Data Set 11-6, the number of levels of the independent variable is

A) 1
B) 2
C) 3
Question
Data Set 11-6: Walking is valuable exercise. Does the size of the place you live have any relationship to how much walking you do? The following data (in miles per day) are entirely hypothetical, but represent a reasonable guess. (The place names for this problem are ordered from large to small and are from particular sources-can you identify a source or two?)  Gotham  Middletown  Grovers Corners ΣX162432ΣX27060140N4128\begin{array} { l c c c } & \text { Gotham } & \text { Middletown } & \text { Grovers Corners } \\ \Sigma \mathrm { X } & 16 & 24 & 32 \\\Sigma \mathrm { X } ^ { 2 } & 70 & 60 & 140 \\N & 4 & 12 & 8\end{array}

-The proper critical value for Data Set 11-6 with alpha at the .05 level is

A) 3.47
B) 3.40
C) 5.78
Question
Data Set 11-6: Walking is valuable exercise. Does the size of the place you live have any relationship to how much walking you do? The following data (in miles per day) are entirely hypothetical, but represent a reasonable guess. (The place names for this problem are ordered from large to small and are from particular sources-can you identify a source or two?)  Gotham  Middletown  Grovers Corners ΣX162432ΣX27060140N4128\begin{array} { l c c c } & \text { Gotham } & \text { Middletown } & \text { Grovers Corners } \\ \Sigma \mathrm { X } & 16 & 24 & 32 \\\Sigma \mathrm { X } ^ { 2 } & 70 & 60 & 140 \\N & 4 & 12 & 8\end{array}

-For Data Set 11-6, the proper conclusion is that there are

A) no significant differences the null hypothesis should be rejected
B) no significant differences the null hypothesis should be retained
C) significant differences the null hypothesis should be rejected
D) significant differences the null hypothesis should be retained.
Question
Data Set 11-7: As you may know, there has been some controversy about who the actual author was of plays we today attribute to Shakespeare. Suppose that three critics gave their judgments as to the likelihood (0 to 100%) that each of the three named below was the actual author.  William  Shakespeare  Christopher  Marlow  The Duke  of Oxford  Critic Smythe 752550 Critic Jones 401075 Critic Jonson 903020\begin{array} { l c c c } & \begin{array} { c } \text { William } \\\text { Shakespeare }\end{array} & \begin{array} { c } \text { Christopher } \\\text { Marlow }\end{array} & \begin{array} { c } \text { The Duke } \\\text { of Oxford }\end{array} \\ \text { Critic Smythe } & 75 & 25 & 50 \\\text { Critic Jones } & 40 & 10 & 75 \\\text { Critic Jonson } & 90 & 30 & 20\end{array}

-The scores in Data Set 11-7_____________ be analyzed using the techniques in Chapter 11 because

A) can, all the requirements for ANOVA are met
B) cannot, the same dependent variable was not used with each "author"
C) cannot, the independent variable is just names
D) cannot, the judgments are correlated measures.
Question
Data Set 11-7: As you may know, there has been some controversy about who the actual author was of plays we today attribute to Shakespeare. Suppose that three critics gave their judgments as to the likelihood (0 to 100%) that each of the three named below was the actual author.  William  Shakespeare  Christopher  Marlow  The Duke  of Oxford  Critic Smythe 752550 Critic Jones 401075 Critic Jonson 903020\begin{array} { l c c c } & \begin{array} { c } \text { William } \\\text { Shakespeare }\end{array} & \begin{array} { c } \text { Christopher } \\\text { Marlow }\end{array} & \begin{array} { c } \text { The Duke } \\\text { of Oxford }\end{array} \\ \text { Critic Smythe } & 75 & 25 & 50 \\\text { Critic Jones } & 40 & 10 & 75 \\\text { Critic Jonson } & 90 & 30 & 20\end{array}

-Regardless of your answer to the question above, the MStreat for the numbers in Data Set 11-7 is

A) 6339
B) 3289
C) 2153
D) 1644
E) 508
Question
Data Set 11-7: As you may know, there has been some controversy about who the actual author was of plays we today attribute to Shakespeare. Suppose that three critics gave their judgments as to the likelihood (0 to 100%) that each of the three named below was the actual author.  William  Shakespeare  Christopher  Marlow  The Duke  of Oxford  Critic Smythe 752550 Critic Jones 401075 Critic Jonson 903020\begin{array} { l c c c } & \begin{array} { c } \text { William } \\\text { Shakespeare }\end{array} & \begin{array} { c } \text { Christopher } \\\text { Marlow }\end{array} & \begin{array} { c } \text { The Duke } \\\text { of Oxford }\end{array} \\ \text { Critic Smythe } & 75 & 25 & 50 \\\text { Critic Jones } & 40 & 10 & 75 \\\text { Critic Jonson } & 90 & 30 & 20\end{array}

-Regardless of your answer to the questions above, the dferror for the numbers in Data Set 11-7 is

A) 8
B) 6
C) 3
Question
Data Set 11-8:  Group A  Group B  Group C 851101010121519\begin{array} { c c c } \text { Group A } & \text { Group B } & \text { Group C } \\\hline 8 & 5 & 1 \\10 & 10 & 10 \\12 & 15 & 19\end{array}

-Consider the three components of the error variance in Data Set 11-8.

A) They are about equal
B) They are not equal
C) Two are equal and one is different
D) Not enough information is given.
Question
Data Set 11-8:  Group A  Group B  Group C 851101010121519\begin{array} { c c c } \text { Group A } & \text { Group B } & \text { Group C } \\\hline 8 & 5 & 1 \\10 & 10 & 10 \\12 & 15 & 19\end{array}

-Descriptions for Groups A, B, and C in Data Set 11-8 follow. For which would the ANOVA described in Chapter 11 not be appropriate?

A) New Yorkers, Bostonians, Chicagoers 9 political participants
B) age 16, age 20, age 24 3 female participants
C) freshmen, sophomores, seniors 9 student participants
D) all of the other alternatives are correct.
Question
Data Set 11-8:  Group A  Group B  Group C 851101010121519\begin{array} { c c c } \text { Group A } & \text { Group B } & \text { Group C } \\\hline 8 & 5 & 1 \\10 & 10 & 10 \\12 & 15 & 19\end{array}

-Suppose you performed HSD tests on the means of the groups in Data Set 11-8. The HSD values would be

A) all about equal and not significant
B) all about equal and significant
C) equal for two comparisons and larger for the other
D) equal for two comparisons and smaller for the other.
Question
The person who developed analysis of variance as a statistical technique was

A) Gosset
B) Quetelet
C) Tukey
D) none of the other alternatives are correct.
Question
The F distribution is called F

A) because it was the sixth statistical distribution discovered after 1900
B) because it is the only fixed statistical distribution
C) because the distribution is a theoretical frequency distribution
D) to honor a man whose name began with F.
Question
Credit for the development of ANOVA goes to

A) Francis Galton, a geneticist
B) Karl Pearson, a statistician
C) Ronald Fisher, a biologist
D) George Snedecor, a psychologist.
Question
The person who developed ANOVA was

A) W. S. Gosset, a businessman
B) John W. Tukey, a statistician
C) "student," a pseudonym
D) Ronald A. Fisher, a biologist.
Question
is credited with developing analysis of variance.

A) R. A. Fisher
B) George Snedecor
C) William S. Gosset ("student")
D) Karl Pearson.
Question
Ronald A. Fisher gets credit for developing

A) analysis of variance
B) the t distribution
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct
Question
Ronald A. Fisher made significant contributions to statistics and

A) psychology
B) chemistry
C) sociology
D) none of the other alternatives are correct.
Question
Ronald A. Fisher

A) discovered the exact sampling distribution of r
B) wrote Statistical Methods for Research Workers
C) invented analysis of variance
D) all of the descriptive alternatives are correct.
Question
The designs analyzed in Chapter 11 called for the samples to be

A) independent, as described for the independent-measures t test
B) related, as described for the paired-measures t test
C) either of the descriptive alternatives.
Question
The ANOVA technique as described in Chapter 11 cannot be used when

A) the number of scores in each group is unequal
B) subjects are randomly assigned to one of the groups before the independent variable is administered
C) samples are drawn from populations that have equal variances
D) subjects participate in every level of the independent variable.
Question
The ANOVA techniques described in Chapter 11 cannot be used to analyze an experiment with

A) two levels of the independent variable
B) three levels of the independent variable
C) paired samples designs:
D) independent samples designs.
Question
The techniques of Chapter 11 are not appropriate if the data come from

A) a paired-samples design
B) populations that do not have the same mean
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct.
Question
The ANOVA technique described in the text can be used on

A) paired-samples designs
B) independent-samples designs
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives are correct.
Question
Suppose you found a way to redo a study so that the SSerror was reduced compared to the first time you ran the experiment. The SStreat stayed the same as before. The effect of this will be to

A) increase the population variance
B) be more likely to detect population differences if there are any
C) increase the degrees of freedom
D) all of the descriptive alternatives are correct.
Question
Suppose MStreat is calculated for three samples that are from a population with a mean = 10. Under which condition below would MStreat certainly become larger?

A) the addition of a sample from a population with the a mean of 10
B) the addition of a sample from a population with a mean = 20
C) the removal of one of the three samples from the calculations
D) all of the other alternatives are correct.
Question
The larger the population variance, the larger________ is.

A) F
B) df
C) MSerror
D) all of the descriptive alternatives are correct.
Question
If the null hypothesis is true, an analysis of variance determines the probability that the samples

A) came from the same population
B) came from different populations
C) came from an F distribution
D) are random samples.
Question
If the null hypothesis is true, mean square__________ will be a good estimate of the population variance.

A) error
B) treatment
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct.
Question
If the null hypothesis is true,_______________ will be a good estimate of the population variance.

A) the error mean square
B) the treatment mean square
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct.
Question
If the null hypothesis is false,______________ will be a good estimate of the population variance.

A) the error mean square
B) the treatment mean square
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct.
Question
When the null hypothesis is true, which of the following is a good estimate of the population variance?

A) MStreat
B) MSerror
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct.
Question
If the null hypothesis is not true, mean square______________ will be a good estimate of the population variance.

A) error
B) treatment
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct.
Question
The mean square error will be a good estimate of the population variance when

A) when the null hypothesis is true
B) when the null hypothesis is false
C) regardless of whether the null hypothesis is true or false
Question
MSerror will be a good estimate of the population variance

A) when the null hypothesis is true
B) when the null hypothesis is false
C) both of the descriptive alternatives are correct
D) never, MSerror is not an estimate of the population variance.
Question
When the null hypothesis is false, which of the following is a good estimate of the population variance?

A) MStreat
B) MSerror
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct.
Question
"All of the samples in the study came from populations with identical means"is a statement of

A) an assumption about the data that is required if the F distribution is to be accurate
B) the null hypothesis
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives are correct.
Question
The null hypothesis in an ANOVA problem is that

A) all the groups are drawn from the same population
B) none of the groups were drawn from the same population
C) one or more of the groups was drawn from a different population
D) any of the other alternatives, depending on how many levels of the independent variable there are.
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Deck 11: Analysis of Variance: One-Way Classification
1
The person responsible for developing analysis of variance was Karl Pearson.
False
2
The numerator of an F ratio is a variance.
True
3
In a one-way ANOVA, the total variability is divided into four portions.
False
4
The F distribution is skewed.
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5
MStreat is a good estimator of σ\sigma 2, even when the null hypothesis is false.
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6
A priori tests are those that are planned before an ANOVA is calculated.
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7
To compare two means from a three-group data set, use a Tukey Honestly Significant Difference test.
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8
The effect size index, d, is not appropriate for one-way ANOVA data.
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9
Analysis of variance is a null hypothesis statistical testing technique.
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10
The person responsible for developing analysis of variance was William Gosset.
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11
The denominator of an F ratio is a variance.
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12
In a one-way ANOVA, the total variability is divided into three portions.
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13
A sum of squares divided by degrees of freedom is a mean square.
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14
MSerror is a good estimator of σ\sigma 2, even when the null hypothesis is false.
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15
After an ANOVA is calculated and the group means examined, a post hoc test is appropriate.
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16
To compare two means from a three-group data set, use three t tests.
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17
Two effect size indexes, f and d, are appropriate for one-way ANOVA data.
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18
The one-way in one-way analysis of variance means that there is only one independent variable.
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19
The person responsible for developing analysis of variance was Francis Galton.
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20
F values are ratios of two variances.
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21
In a one-way ANOVA, the total variability is divided into two portions.
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22
The F distribution is not a normal distribution.
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23
A sum of squares is a mean square divided by degrees of freedom.
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24
MSerror is a good estimator of σ\sigma 2 when the null hypothesis is true.
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25
After an ANOVA is calculated and the group means examined, an a priori test is appropriate.
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26
A Tukey Honestly Significant Difference test can be used to compare two means from a four-group data set.
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27
The effect size index, f, is appropriate for one-way ANOVA data.
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28
The assumptions of analysis of variance are more numerous than those for the independent samples t test.
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29
Data Set 11-1: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-1: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-1. The null hypothesis should be rejected for an ANOVA on Experiment</strong> A) X B) Y C) Z

-Refer to Data Set 11-1. The null hypothesis should be rejected for an ANOVA on Experiment

A) X
B) Y
C) Z
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30
Data Set 11-1: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-1: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-1. The denominator of the F ratio would be smallest for an ANOVA on Experiment</strong> A) X B) Y C) Z

-Refer to Data Set 11-1. The denominator of the F ratio would be smallest for an ANOVA on Experiment

A) X
B) Y
C) Z
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31
Data Set 11-1: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-1: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-1. The null hypothesis is true in Experiment</strong> A) X B) Y C) Z

-Refer to Data Set 11-1. The null hypothesis is true in Experiment

A) X
B) Y
C) Z
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32
Data Set 11-2: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-2: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-2. The null hypothesis should be rejected for an ANOVA on Experiment</strong> A) X B) Y C) Z

-Refer to Data Set 11-2. The null hypothesis should be rejected for an ANOVA on Experiment

A) X
B) Y
C) Z
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33
Data Set 11-2: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-2: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-2. The denominator of the F ratio would be largest for an ANOVA onExperiment</strong> A) X B) Y C) Z

-Refer to Data Set 11-2. The denominator of the F ratio would be largest for an ANOVA onExperiment

A) X
B) Y
C) Z
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34
Data Set 11-2: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-2: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-2. The null hypothesis is true in Experiment</strong> A) X B) Y C) Z D)X and Z

-Refer to Data Set 11-2. The null hypothesis is true in Experiment

A) X
B) Y
C) Z
D)X and Z
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35
Data Set 11-3: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-3: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-3. The null hypothesis should be rejected for an ANOVA in Experiment</strong> A) X B) Y C) Z

-Refer to Data Set 11-3. The null hypothesis should be rejected for an ANOVA in Experiment

A) X
B) Y
C) Z
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36
Data Set 11-3: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-3: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-3. The denominator of the F ratio would be largest for an ANOVA inExperiment</strong> A) X B) Y C) Z D)Y and Z

-Refer to Data Set 11-3. The denominator of the F ratio would be largest for an ANOVA inExperiment

A) X
B) Y
C) Z
D)Y and Z
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37
Data Set 11-3: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-3: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-3. The null hypothesis is true in Experiment</strong> A) X B) Y C) Z D)Y and Z

-Refer to Data Set 11-3. The null hypothesis is true in Experiment

A) X
B) Y
C) Z
D)Y and Z
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38
Data Set 11-4: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-4: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-4. The null hypothesis should be rejected for an ANOVA in Experiment</strong> A) X B) Y C) Z

-Refer to Data Set 11-4. The null hypothesis should be rejected for an ANOVA in Experiment

A) X
B) Y
C) Z
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39
Data Set 11-4: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-4: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-4. The denominator of the F ratio would be largest for an ANOVA in Experiment</strong> A) X B) Y C) Z D)Y and Z

-Refer to Data Set 11-4. The denominator of the F ratio would be largest for an ANOVA in Experiment

A) X
B) Y
C) Z
D)Y and Z
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40
Data Set 11-4: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
<strong>Data Set 11-4: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).    -Refer to Data Set 11-4. The null hypothesis is true in Experiment</strong> A) X B) Y C) Z D) X and Y

-Refer to Data Set 11-4. The null hypothesis is true in Experiment

A) X
B) Y
C) Z
D) X and Y
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41
Data Set 11-5:  Group A  Group B  Group C 81315101517\begin{array} { r r c } \text { Group A } & \text { Group B } & \text { Group C } \\\hline8 & 13 & 15 \\10 & 15 & 17\end{array}

-The three components of the error variance in Data Set 11-5 are

A) about equal
B) very unequal
C) some are equal and some are unequal
D) not enough information is given.
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42
Data Set 11-5:  Group A  Group B  Group C 81315101517\begin{array} { r r c } \text { Group A } & \text { Group B } & \text { Group C } \\\hline8 & 13 & 15 \\10 & 15 & 17\end{array}

-Descriptions for Groups A, B, and C in Data Set 11-5 follow. For which would the ANOVA described in Chapter 11 not be appropriate?

A) 10 mg, 20 mg, and 100 mg of a new drug, 6 rats
B) Yale, Princeton, and Harvard, 6 students
C) before, after, and three months later, 2 rats
D) all of the descriptive alternatives are correct.
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43
Data Set 11-5:  Group A  Group B  Group C 81315101517\begin{array} { r r c } \text { Group A } & \text { Group B } & \text { Group C } \\\hline8 & 13 & 15 \\10 & 15 & 17\end{array}

-The largest HSD in Data Set 11-5 would be found in comparing

A) A vs B
B) A vs C
C) B vs C
D) cannot be determined from the information given.
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44
Data Set 11-5:  Group A  Group B  Group C 81315101517\begin{array} { r r c } \text { Group A } & \text { Group B } & \text { Group C } \\\hline8 & 13 & 15 \\10 & 15 & 17\end{array}

-Suppose each of the scores in Data Set 11-5 was changed by adding 1 to it. SSerror will then be

A) smaller
B) larger
C) the same size
D) cannot be determined from the information given.
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45
Data Set 11-6: Walking is valuable exercise. Does the size of the place you live have any relationship to how much walking you do? The following data (in miles per day) are entirely hypothetical, but represent a reasonable guess. (The place names for this problem are ordered from large to small and are from particular sources-can you identify a source or two?)  Gotham  Middletown  Grovers Corners ΣX162432ΣX27060140N4128\begin{array} { l c c c } & \text { Gotham } & \text { Middletown } & \text { Grovers Corners } \\ \Sigma \mathrm { X } & 16 & 24 & 32 \\\Sigma \mathrm { X } ^ { 2 } & 70 & 60 & 140 \\N & 4 & 12 & 8\end{array}

-For Data Set 11-6, the number of levels of the independent variable is

A) 1
B) 2
C) 3
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46
Data Set 11-6: Walking is valuable exercise. Does the size of the place you live have any relationship to how much walking you do? The following data (in miles per day) are entirely hypothetical, but represent a reasonable guess. (The place names for this problem are ordered from large to small and are from particular sources-can you identify a source or two?)  Gotham  Middletown  Grovers Corners ΣX162432ΣX27060140N4128\begin{array} { l c c c } & \text { Gotham } & \text { Middletown } & \text { Grovers Corners } \\ \Sigma \mathrm { X } & 16 & 24 & 32 \\\Sigma \mathrm { X } ^ { 2 } & 70 & 60 & 140 \\N & 4 & 12 & 8\end{array}

-The proper critical value for Data Set 11-6 with alpha at the .05 level is

A) 3.47
B) 3.40
C) 5.78
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47
Data Set 11-6: Walking is valuable exercise. Does the size of the place you live have any relationship to how much walking you do? The following data (in miles per day) are entirely hypothetical, but represent a reasonable guess. (The place names for this problem are ordered from large to small and are from particular sources-can you identify a source or two?)  Gotham  Middletown  Grovers Corners ΣX162432ΣX27060140N4128\begin{array} { l c c c } & \text { Gotham } & \text { Middletown } & \text { Grovers Corners } \\ \Sigma \mathrm { X } & 16 & 24 & 32 \\\Sigma \mathrm { X } ^ { 2 } & 70 & 60 & 140 \\N & 4 & 12 & 8\end{array}

-For Data Set 11-6, the proper conclusion is that there are

A) no significant differences the null hypothesis should be rejected
B) no significant differences the null hypothesis should be retained
C) significant differences the null hypothesis should be rejected
D) significant differences the null hypothesis should be retained.
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48
Data Set 11-7: As you may know, there has been some controversy about who the actual author was of plays we today attribute to Shakespeare. Suppose that three critics gave their judgments as to the likelihood (0 to 100%) that each of the three named below was the actual author.  William  Shakespeare  Christopher  Marlow  The Duke  of Oxford  Critic Smythe 752550 Critic Jones 401075 Critic Jonson 903020\begin{array} { l c c c } & \begin{array} { c } \text { William } \\\text { Shakespeare }\end{array} & \begin{array} { c } \text { Christopher } \\\text { Marlow }\end{array} & \begin{array} { c } \text { The Duke } \\\text { of Oxford }\end{array} \\ \text { Critic Smythe } & 75 & 25 & 50 \\\text { Critic Jones } & 40 & 10 & 75 \\\text { Critic Jonson } & 90 & 30 & 20\end{array}

-The scores in Data Set 11-7_____________ be analyzed using the techniques in Chapter 11 because

A) can, all the requirements for ANOVA are met
B) cannot, the same dependent variable was not used with each "author"
C) cannot, the independent variable is just names
D) cannot, the judgments are correlated measures.
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49
Data Set 11-7: As you may know, there has been some controversy about who the actual author was of plays we today attribute to Shakespeare. Suppose that three critics gave their judgments as to the likelihood (0 to 100%) that each of the three named below was the actual author.  William  Shakespeare  Christopher  Marlow  The Duke  of Oxford  Critic Smythe 752550 Critic Jones 401075 Critic Jonson 903020\begin{array} { l c c c } & \begin{array} { c } \text { William } \\\text { Shakespeare }\end{array} & \begin{array} { c } \text { Christopher } \\\text { Marlow }\end{array} & \begin{array} { c } \text { The Duke } \\\text { of Oxford }\end{array} \\ \text { Critic Smythe } & 75 & 25 & 50 \\\text { Critic Jones } & 40 & 10 & 75 \\\text { Critic Jonson } & 90 & 30 & 20\end{array}

-Regardless of your answer to the question above, the MStreat for the numbers in Data Set 11-7 is

A) 6339
B) 3289
C) 2153
D) 1644
E) 508
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50
Data Set 11-7: As you may know, there has been some controversy about who the actual author was of plays we today attribute to Shakespeare. Suppose that three critics gave their judgments as to the likelihood (0 to 100%) that each of the three named below was the actual author.  William  Shakespeare  Christopher  Marlow  The Duke  of Oxford  Critic Smythe 752550 Critic Jones 401075 Critic Jonson 903020\begin{array} { l c c c } & \begin{array} { c } \text { William } \\\text { Shakespeare }\end{array} & \begin{array} { c } \text { Christopher } \\\text { Marlow }\end{array} & \begin{array} { c } \text { The Duke } \\\text { of Oxford }\end{array} \\ \text { Critic Smythe } & 75 & 25 & 50 \\\text { Critic Jones } & 40 & 10 & 75 \\\text { Critic Jonson } & 90 & 30 & 20\end{array}

-Regardless of your answer to the questions above, the dferror for the numbers in Data Set 11-7 is

A) 8
B) 6
C) 3
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51
Data Set 11-8:  Group A  Group B  Group C 851101010121519\begin{array} { c c c } \text { Group A } & \text { Group B } & \text { Group C } \\\hline 8 & 5 & 1 \\10 & 10 & 10 \\12 & 15 & 19\end{array}

-Consider the three components of the error variance in Data Set 11-8.

A) They are about equal
B) They are not equal
C) Two are equal and one is different
D) Not enough information is given.
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52
Data Set 11-8:  Group A  Group B  Group C 851101010121519\begin{array} { c c c } \text { Group A } & \text { Group B } & \text { Group C } \\\hline 8 & 5 & 1 \\10 & 10 & 10 \\12 & 15 & 19\end{array}

-Descriptions for Groups A, B, and C in Data Set 11-8 follow. For which would the ANOVA described in Chapter 11 not be appropriate?

A) New Yorkers, Bostonians, Chicagoers 9 political participants
B) age 16, age 20, age 24 3 female participants
C) freshmen, sophomores, seniors 9 student participants
D) all of the other alternatives are correct.
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53
Data Set 11-8:  Group A  Group B  Group C 851101010121519\begin{array} { c c c } \text { Group A } & \text { Group B } & \text { Group C } \\\hline 8 & 5 & 1 \\10 & 10 & 10 \\12 & 15 & 19\end{array}

-Suppose you performed HSD tests on the means of the groups in Data Set 11-8. The HSD values would be

A) all about equal and not significant
B) all about equal and significant
C) equal for two comparisons and larger for the other
D) equal for two comparisons and smaller for the other.
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54
The person who developed analysis of variance as a statistical technique was

A) Gosset
B) Quetelet
C) Tukey
D) none of the other alternatives are correct.
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55
The F distribution is called F

A) because it was the sixth statistical distribution discovered after 1900
B) because it is the only fixed statistical distribution
C) because the distribution is a theoretical frequency distribution
D) to honor a man whose name began with F.
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56
Credit for the development of ANOVA goes to

A) Francis Galton, a geneticist
B) Karl Pearson, a statistician
C) Ronald Fisher, a biologist
D) George Snedecor, a psychologist.
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57
The person who developed ANOVA was

A) W. S. Gosset, a businessman
B) John W. Tukey, a statistician
C) "student," a pseudonym
D) Ronald A. Fisher, a biologist.
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58
is credited with developing analysis of variance.

A) R. A. Fisher
B) George Snedecor
C) William S. Gosset ("student")
D) Karl Pearson.
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59
Ronald A. Fisher gets credit for developing

A) analysis of variance
B) the t distribution
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct
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60
Ronald A. Fisher made significant contributions to statistics and

A) psychology
B) chemistry
C) sociology
D) none of the other alternatives are correct.
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61
Ronald A. Fisher

A) discovered the exact sampling distribution of r
B) wrote Statistical Methods for Research Workers
C) invented analysis of variance
D) all of the descriptive alternatives are correct.
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62
The designs analyzed in Chapter 11 called for the samples to be

A) independent, as described for the independent-measures t test
B) related, as described for the paired-measures t test
C) either of the descriptive alternatives.
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63
The ANOVA technique as described in Chapter 11 cannot be used when

A) the number of scores in each group is unequal
B) subjects are randomly assigned to one of the groups before the independent variable is administered
C) samples are drawn from populations that have equal variances
D) subjects participate in every level of the independent variable.
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64
The ANOVA techniques described in Chapter 11 cannot be used to analyze an experiment with

A) two levels of the independent variable
B) three levels of the independent variable
C) paired samples designs:
D) independent samples designs.
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65
The techniques of Chapter 11 are not appropriate if the data come from

A) a paired-samples design
B) populations that do not have the same mean
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct.
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66
The ANOVA technique described in the text can be used on

A) paired-samples designs
B) independent-samples designs
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives are correct.
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67
Suppose you found a way to redo a study so that the SSerror was reduced compared to the first time you ran the experiment. The SStreat stayed the same as before. The effect of this will be to

A) increase the population variance
B) be more likely to detect population differences if there are any
C) increase the degrees of freedom
D) all of the descriptive alternatives are correct.
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68
Suppose MStreat is calculated for three samples that are from a population with a mean = 10. Under which condition below would MStreat certainly become larger?

A) the addition of a sample from a population with the a mean of 10
B) the addition of a sample from a population with a mean = 20
C) the removal of one of the three samples from the calculations
D) all of the other alternatives are correct.
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69
The larger the population variance, the larger________ is.

A) F
B) df
C) MSerror
D) all of the descriptive alternatives are correct.
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70
If the null hypothesis is true, an analysis of variance determines the probability that the samples

A) came from the same population
B) came from different populations
C) came from an F distribution
D) are random samples.
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71
If the null hypothesis is true, mean square__________ will be a good estimate of the population variance.

A) error
B) treatment
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct.
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72
If the null hypothesis is true,_______________ will be a good estimate of the population variance.

A) the error mean square
B) the treatment mean square
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct.
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73
If the null hypothesis is false,______________ will be a good estimate of the population variance.

A) the error mean square
B) the treatment mean square
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct.
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74
When the null hypothesis is true, which of the following is a good estimate of the population variance?

A) MStreat
B) MSerror
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct.
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75
If the null hypothesis is not true, mean square______________ will be a good estimate of the population variance.

A) error
B) treatment
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct.
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76
The mean square error will be a good estimate of the population variance when

A) when the null hypothesis is true
B) when the null hypothesis is false
C) regardless of whether the null hypothesis is true or false
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77
MSerror will be a good estimate of the population variance

A) when the null hypothesis is true
B) when the null hypothesis is false
C) both of the descriptive alternatives are correct
D) never, MSerror is not an estimate of the population variance.
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78
When the null hypothesis is false, which of the following is a good estimate of the population variance?

A) MStreat
B) MSerror
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives is correct.
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79
"All of the samples in the study came from populations with identical means"is a statement of

A) an assumption about the data that is required if the F distribution is to be accurate
B) the null hypothesis
C) both of the descriptive alternatives are correct
D) neither of the descriptive alternatives are correct.
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80
The null hypothesis in an ANOVA problem is that

A) all the groups are drawn from the same population
B) none of the groups were drawn from the same population
C) one or more of the groups was drawn from a different population
D) any of the other alternatives, depending on how many levels of the independent variable there are.
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