Question 1

The grand mean is the:

Accepted Answer

A)  mean of every score in the study, regardless of the sample. 
B)  average of each of the group means. 
C)  mean of all the scores in the study squared. 
D)  average difference of each of the group means. 
A)  mean of every score in the study, regardless of the sample. 
B)  average of each of the group means. 
C)  mean of all the scores in the study squared. 
D)  average difference of each of the group means.

Question 2

A measure of variability that is essentially an average of the sample variances is:

Accepted Answer

A)  the z score. 
B)  between-groups variance. 
C)  within-groups variance. 
D)  the proportionate reduction in error. 
A)  the z score. 
B)  between-groups variance. 
C)  within-groups variance. 
D)  the proportionate reduction in error.

Question 3

If there are only two samples, then the F distribution is the:

Accepted Answer

A)  sum of the two samples. 
B)  square of the t distribution. 
C)  square of the z distribution. 
D)  null hypothesis distribution for N = 2. 
A)  sum of the two samples. 
B)  square of the t distribution. 
C)  square of the z distribution. 
D)  null hypothesis distribution for N = 2.

Question 4

The F statistic is more versatile than the t test.

Accepted Answer

A) True 
 B)False

Question 5

A researcher compares depression levels of people residing in five different climate regions.She collects data from 15 randomly selected people in each region.If she compares her groups using a between-groups, one-way ANOVA at a p level of 0.05, the critical value for her F statistic would be:

Accepted Answer

A)  3.60. 
B)  3.29. 
C)  2.76. 
D)  2.50. 
A)  3.60. 
B)  3.29. 
C)  2.76. 
D)  2.50.

Question 6

The F ratio measures two sources of variability: within-groups variance and between-groups variance.

Accepted Answer

A) True 
 B)False

Question 7

A researcher can't just run multiple t tests when the independent variable has more than two levels because as more statistical tests are run:

Accepted Answer

A)  it becomes harder and harder to reject the null hypothesis. 
B)  the probability of making a Type I error in one of the tests increases. 
C)  degrees of freedom are lost. 
D)  the probability of making a Type III error in one of the tests increases. 
A)  it becomes harder and harder to reject the null hypothesis. 
B)  the probability of making a Type I error in one of the tests increases. 
C)  degrees of freedom are lost. 
D)  the probability of making a Type III error in one of the tests increases.

Question 8

Which symbol is NOT a type of sum of squares (SS) listed in a source table?

Accepted Answer

A)  SSbetween 
B)  SStotal 
C)  SSwithin 
D)  SSdegrees of freedom 
A)  SSbetween 
B)  SStotal 
C)  SSwithin 
D)  SSdegrees of freedom

Question 9

An F statistic calculated on 2 and 26 degrees of freedom equals 3.41.Which decision should be made about a hypothesis tested at the p = 0.05 level?

Accepted Answer

A)  Fail to reject the null hypothesis and conclude there are differences among the groups. 
B)  Fail to reject the null hypothesis and conclude no significant differences are indicated among the groups. 
C)  Reject the null hypothesis and conclude there are differences among the groups. 
D)  Reject the null hypothesis and conclude no significant differences are indicated among the groups. 
A)  Fail to reject the null hypothesis and conclude there are differences among the groups. 
B)  Fail to reject the null hypothesis and conclude no significant differences are indicated among the groups. 
C)  Reject the null hypothesis and conclude there are differences among the groups. 
D)  Reject the null hypothesis and conclude no significant differences are indicated among the groups.

Question 10

Populations that have different variances are referred to as homoscedastic.

Accepted Answer

A) True 
 B)False

Question 11

If there are only two samples and sample size is infinity, then the F distribution is the:

Accepted Answer

A)  sum of the two samples. 
B)  t distribution. 
C)  null hypothesis distribution for N = 2. 
D)  square of the z distribution. 
A)  sum of the two samples. 
B)  t distribution. 
C)  null hypothesis distribution for N = 2. 
D)  square of the z distribution.

Question 12

A post hoc test is warranted when one:

Accepted Answer

A)  rejects the null hypothesis and there are more than two groups. 
B)  fails to reject the null hypothesis in an ANOVA. 
C)  rejects the null hypothesis when performing an independent-groups t test. 
D)  has an a priori prediction about which group means will differ. 
A)  rejects the null hypothesis and there are more than two groups. 
B)  fails to reject the null hypothesis in an ANOVA. 
C)  rejects the null hypothesis when performing an independent-groups t test. 
D)  has an a priori prediction about which group means will differ.

Question 13

Using the Bonferroni post hoc test, to make all possible comparisons between the means of three groups while keeping the overall p level at 0.05, what should the p level be for each comparison?

Accepted Answer

A)  0.050 
B)  0.001 
C)  0.017 
D)  0.008 
A)  0.050 
B)  0.001 
C)  0.017 
D)  0.008

Question 14

If between-groups variability increases, within-groups variability necessarily increases.

Accepted Answer

A) True 
 B)False

Question 15

Between-groups degrees of freedom is calculated by:

Accepted Answer

A)  subtracting 1 from the total number of groups in the study. 
B)  multiplying the number of subjects by the number of conditions in the study and then subtracting 1. 
C)  subtracting 1 from the total number of subjects in the study. 
D)  subtracting 1 from the number of subjects within each group and then adding those numbers together. 
A)  subtracting 1 from the total number of groups in the study. 
B)  multiplying the number of subjects by the number of conditions in the study and then subtracting 1. 
C)  subtracting 1 from the total number of subjects in the study. 
D)  subtracting 1 from the number of subjects within each group and then adding those numbers together.

Question 16

MSbetween is obtained by dividing:

Accepted Answer

A)  SSbetween by dfbetween. 
B)  SSbetween by SSwithin. 
C)  dfbetween by SSbetween. 
D)  SSwithin by SSwithin. 
A)  SSbetween by dfbetween. 
B)  SSbetween by SSwithin. 
C)  dfbetween by SSbetween. 
D)  SSwithin by SSwithin.

Question 17

Cohen's d cannot be used as a measure of effect size for ANOVA because:

Accepted Answer

A)  there is no effect size measure for ANOVA. 
B)  its values no longer have meaning when more than two groups are compared. 
C)  it can only compare two means. 
D)  it must be saved to compute effect size for the post hoc tests. 
A)  there is no effect size measure for ANOVA. 
B)  its values no longer have meaning when more than two groups are compared. 
C)  it can only compare two means. 
D)  it must be saved to compute effect size for the post hoc tests.

Question 18

Which distribution allows various types of statistical analyses to be made and is the most complex?

Accepted Answer

A)  z 
B)  t 
C)  F 
D)  T 
A)  z 
B)  t 
C)  F 
D)  T

Question 19

In a z test and a t test, when there is no difference between groups, the test statistic is equal to _____, but in the ANOVA, when there are no differences among groups, the test statistic is equal to _____.

Accepted Answer

A)  0; 1 
B)  1; 0 
C)  1; 2 
D)  2; 1 
A)  0; 1 
B)  1; 0 
C)  1; 2 
D)  2; 1

Question 20

Populations that have the same variance are referred to as heteroscedastic.

Accepted Answer

A) True 
 B)False

The grand mean is the:

A measure of variability that is essentially an average of the sample variances is:

If there are only two samples, then the F distribution is the:

The F statistic is more versatile than the t test.

A researcher compares depression levels of people residing in five different climate regions.She collects data from 15 randomly selected people in each region.If she compares her groups using a between-groups, one-way ANOVA at a p level of 0.05, the critical value for her F statistic would be:

The F ratio measures two sources of variability: within-groups variance and between-groups variance.

A researcher can't just run multiple t tests when the independent variable has more than two levels because as more statistical tests are run:

Which symbol is NOT a type of sum of squares (SS) listed in a source table?

An F statistic calculated on 2 and 26 degrees of freedom equals 3.41.Which decision should be made about a hypothesis tested at the p = 0.05 level?

Populations that have different variances are referred to as homoscedastic.

If there are only two samples and sample size is infinity, then the F distribution is the:

A post hoc test is warranted when one:

Using the Bonferroni post hoc test, to make all possible comparisons between the means of three groups while keeping the overall p level at 0.05, what should the p level be for each comparison?

If between-groups variability increases, within-groups variability necessarily increases.

Between-groups degrees of freedom is calculated by:

MS_between is obtained by dividing:

Cohen's d cannot be used as a measure of effect size for ANOVA because:

Which distribution allows various types of statistical analyses to be made and is the most complex?

In a z test and a t test, when there is no difference between groups, the test statistic is equal to _, but in the ANOVA, when there are no differences among groups, the test statistic is equal to _.

Populations that have the same variance are referred to as heteroscedastic.

An Introduction to Statistics and Research Design

Frequency Distributions

Visual Displays of Data

Central Tendency and Variability

Sampling and Probability

The Normal Curve, Standardization and Z Scores

Hypothesis Testing With Z Tests

Confidence Intervals, Effect Size, and Statistical Power

The Single-Sample T Test

The Paired-Samples T Test

The Independent-Samples T Test

One-Way Within-Groups Anova

Two-Way Between-Groups Anova

Correlation

Regression

Chi-Square Tess

Choosing and Reporting Statistics

Filters

Exam 12: One-Way Between-Groups Anova

The grand mean is the:

A measure of variability that is essentially an average of the sample variances is:

If there are only two samples, then the F distribution is the:

The F statistic is more versatile than the t test.

A researcher compares depression levels of people residing in five different climate regions.She collects data from 15 randomly selected people in each region.If she compares her groups using a between-groups, one-way ANOVA at a p level of 0.05, the critical value for her F statistic would be:

The F ratio measures two sources of variability: within-groups variance and between-groups variance.

A researcher can't just run multiple t tests when the independent variable has more than two levels because as more statistical tests are run:

Which symbol is NOT a type of sum of squares (SS) listed in a source table?

An F statistic calculated on 2 and 26 degrees of freedom equals 3.41.Which decision should be made about a hypothesis tested at the p = 0.05 level?

Populations that have different variances are referred to as homoscedastic.

If there are only two samples and sample size is infinity, then the F distribution is the:

A post hoc test is warranted when one:

Using the Bonferroni post hoc test, to make all possible comparisons between the means of three groups while keeping the overall p level at 0.05, what should the p level be for each comparison?

If between-groups variability increases, within-groups variability necessarily increases.

Between-groups degrees of freedom is calculated by:

MSbetween is obtained by dividing:

Cohen's d cannot be used as a measure of effect size for ANOVA because:

Which distribution allows various types of statistical analyses to be made and is the most complex?

In a z test and a t test, when there is no difference between groups, the test statistic is equal to _____, but in the ANOVA, when there are no differences among groups, the test statistic is equal to _____.

Populations that have the same variance are referred to as heteroscedastic.

An Introduction to Statistics and Research Design

Frequency Distributions

Visual Displays of Data

Central Tendency and Variability

Sampling and Probability

The Normal Curve, Standardization and Z Scores

Hypothesis Testing With Z Tests

Confidence Intervals, Effect Size, and Statistical Power

The Single-Sample T Test

The Paired-Samples T Test

The Independent-Samples T Test

One-Way Within-Groups Anova

Two-Way Between-Groups Anova

Correlation

Regression

Chi-Square Tess

Choosing and Reporting Statistics

Filters

MS_between is obtained by dividing:

In a z test and a t test, when there is no difference between groups, the test statistic is equal to _, but in the ANOVA, when there are no differences among groups, the test statistic is equal to _.