Question 1

For a repeated-measures study,as the sample mean difference increases,the likelihood of rejecting the null hypothesis also increases.

Accepted Answer

A) True 
 B)False

Question 2

For a repeated-measures study,if the null hypothesis is true,then what value should be obtained for the sample mean?

Accepted Answer

A) MD = 0 B) MD > 0 C) MD < 0 D) MD near 0 A) MD = 0 B) MD > 0 C) MD < 0 D) MD near 0

Question 3

For a repeated-measures design,the sample mean difference is always located exactly in the center of the confidence interval estimate for the population mean difference.

Accepted Answer

A) True 
 B)False

Question 4

A matched-subjects study and an independent-measures study both produced a t statistic with df = 10.How many individuals participated in each study?

Accepted Answer

A) 11 for matched-subjects and 11 for independent-measures 
B) 11 for matched-subjects and 12 for independent-measures 
C) 12 for matched-subjects and 12 for independent-measures 
D) 22 for matched-subjects and 12 for independent-measures 
A) 11 for matched-subjects and 11 for independent-measures 
B) 11 for matched-subjects and 12 for independent-measures 
C) 12 for matched-subjects and 12 for independent-measures 
D) 22 for matched-subjects and 12 for independent-measures

Question 5

If other factors are held constant,which of the following sets of data is most likely to produce a significant value for the repeated-measures t statistic?

Accepted Answer

A) n = 15 and MD = 2 
B) n = 15 and MD = 4 
C) n = 30 and MD = 2 
D) n = 30 and MD = 4 
A) n = 15 and MD = 2 
B) n = 15 and MD = 4 
C) n = 30 and MD = 2 
D) n = 30 and MD = 4

Question 6

The null hypothesis for a repeated-measures test states:

Accepted Answer

A) each individual will have a difference score of D = 0. 
B) the overall sample will have a mean difference of MD = 0. 
C) the entire population will have a mean difference of μD = 0. 
D) All of the other options are correct. 
A) each individual will have a difference score of D = 0. 
B) the overall sample will have a mean difference of MD = 0. 
C) the entire population will have a mean difference of μD = 0. 
D) All of the other options are correct.

Question 7

A repeated-measures study comparing two treatments with a sample of n = 4 participants produces MD = 3 with SS = 48 for the set of difference scores.What is the repeated-measures t statistic for these data?

Accepted Answer

A) 3/√3 = 1.73 
B) 3/2 = 1.50 
C) 3/4 = 0.75 
D) 3/16 = 0.19 
A) 3/√3 = 1.73 
B) 3/2 = 1.50 
C) 3/4 = 0.75 
D) 3/16 = 0.19

Question 8

A repeated-measures study comparing two treatments with n = 4 participants produces MD = 2 and SS = 75 for the difference scores.What is the estimated standard error for the sample mean difference?

Accepted Answer

A) 25 
B) 25/4 = 6.25 
C) 5 
D) 2.5 
A) 25 
B) 25/4 = 6.25 
C) 5 
D) 2.5

Question 9

One concern for a repeated-measures study is that the participants in one treatment may have different characteristics than the participants in the other treatment.

Accepted Answer

A) True 
 B)False

Question 10

The following data were obtained from a repeated-measures research study.What is the value of MD for these data? $$\begin{array} { c r r } 
\text { Subject } & \text { 1st } & 2 \text { nd } \
\hline \# 1 & 10 & 15 \
\# 2 & 4 & 8 \
\# 3 & 7 & 5 \
\# 4 & 6 & 11
\end{array}$$

Accepted Answer

A) 3 
B) 3.5 
C) 4 
D) 4.5 
A) 3 
B) 3.5 
C) 4 
D) 4.5

Question 11

What is indicated by a large variance for a sample of difference scores?

Accepted Answer

A) A consistent treatment effect and a high likelihood of a significant difference 
B) A consistent treatment effect and a low likelihood of a significant difference 
C) An inconsistent treatment effect and a high likelihood of a significant difference 
D) An inconsistent treatment effect and a low likelihood of a significant difference 
A) A consistent treatment effect and a high likelihood of a significant difference 
B) A consistent treatment effect and a low likelihood of a significant difference 
C) An inconsistent treatment effect and a high likelihood of a significant difference 
D) An inconsistent treatment effect and a low likelihood of a significant difference

Question 12

For a repeated-measures study,a small variance for the difference scores indicates that the treatment effect is consistent across participants.

Accepted Answer

A) True 
 B)False

Question 13

A researcher uses a repeated-measures design to compare individuals' performance before treatment with their performance after treatment.If all the participants show improved performance of 8 or 9 points after treatment,what should the researcher find?

Accepted Answer

A) The sample mean difference is near zero. 
B) The t statistic is near zero. 
C) The variance of the difference scores is near zero. 
D) None of the other options is correct. 
A) The sample mean difference is near zero. 
B) The t statistic is near zero. 
C) The variance of the difference scores is near zero. 
D) None of the other options is correct.

Question 14

A researcher reports t(12)= 2.86,p < .05 for a repeated-measures research study.How many individuals participated in the study?

Accepted Answer

A) n = 11 
B) n = 13 
C) n = 24 
D) n = 25 
A) n = 11 
B) n = 13 
C) n = 24 
D) n = 25

Question 15

The estimated standard error in the denominator of the repeated-measures t statistic measures the typical mean difference that is expected for a sample selected from a population with a zero mean difference.

Accepted Answer

A) True 
 B)False

Question 16

A repeated-measures research study uses a total of 20 participants to compare two treatment conditions.If the results are used to construct a 90% confidence interval for the population mean difference,then the t values will be ±1.729.

Accepted Answer

A) True 
 B)False

Question 17

What is the value of the estimated standard error for the following set of D-scores? Scores: 2,2,10,2

Accepted Answer

A) 3 
B) √3 
C) 4 
D) 2 
A) 3 
B) √3 
C) 4 
D) 2

Question 18

For the following data from a repeated-measures study,the sample mean difference is MD = 1.
 $$\begin{array} { c r r } 
\text { Participant } & X _ { 1 } & X _ { 2 } \
\hline \mathrm { A } & 1 & 5 \
\mathrm {~B} & 4 & 6 \
\mathrm { C } & 5 & 2
\end{array}$$

Accepted Answer

A) True 
 B)False

Question 19

A researcher uses a repeated-measures study to compare two treatment conditions with a set of 20 scores in each treatment.What is the value of df for the repeated-measures t statistic?

Accepted Answer

A) 18 
B) 19 
C) 38 
D) 39 
A) 18 
B) 19 
C) 38 
D) 39

Question 20

A teacher gives a reading skills test to a third-grade class of n = 25 at the beginning of the school year.To evaluate the changes that occur during the year,students are tested again at the end of the year.Their test scores showed an average improvement of MD = 12.7 points with s² = 100.
a.Are the results sufficient to conclude that there is significant improvement? Use a one-tailed test with α = .01.
b.Construct a 90% confidence interval for the mean difference to describe the size of the improvement.

Accepted Answer

a.The standard error is 2 and

For a repeated-measures study,as the sample mean difference increases,the likelihood of rejecting the null hypothesis also increases.

For a repeated-measures study,if the null hypothesis is true,then what value should be obtained for the sample mean?

For a repeated-measures design,the sample mean difference is always located exactly in the center of the confidence interval estimate for the population mean difference.

A matched-subjects study and an independent-measures study both produced a t statistic with df = 10.How many individuals participated in each study?

If other factors are held constant,which of the following sets of data is most likely to produce a significant value for the repeated-measures t statistic?

The null hypothesis for a repeated-measures test states:

A repeated-measures study comparing two treatments with a sample of n = 4 participants produces MD = 3 with SS = 48 for the set of difference scores.What is the repeated-measures t statistic for these data?

A repeated-measures study comparing two treatments with n = 4 participants produces MD = 2 and SS = 75 for the difference scores.What is the estimated standard error for the sample mean difference?

One concern for a repeated-measures study is that the participants in one treatment may have different characteristics than the participants in the other treatment.

The following data were obtained from a repeated-measures research study.What is the value of MD for these data? Subject 1st 2 nd \#1 10 15 \#2 4 8 \#3 7 5 \#4 6 11

What is indicated by a large variance for a sample of difference scores?

For a repeated-measures study,a small variance for the difference scores indicates that the treatment effect is consistent across participants.

A researcher uses a repeated-measures design to compare individuals' performance before treatment with their performance after treatment.If all the participants show improved performance of 8 or 9 points after treatment,what should the researcher find?

A researcher reports t(12)= 2.86,p < .05 for a repeated-measures research study.How many individuals participated in the study?

The estimated standard error in the denominator of the repeated-measures t statistic measures the typical mean difference that is expected for a sample selected from a population with a zero mean difference.

A repeated-measures research study uses a total of 20 participants to compare two treatment conditions.If the results are used to construct a 90% confidence interval for the population mean difference,then the t values will be ±1.729.

What is the value of the estimated standard error for the following set of D-scores? Scores: 2,2,10,2

For the following data from a repeated-measures study,the sample mean difference is MD = 1. Participant 1 5 4 6 5 2

A researcher uses a repeated-measures study to compare two treatment conditions with a set of 20 scores in each treatment.What is the value of df for the repeated-measures t statistic?

Introduction to Statistics.

Frequency Distributions.

Central Tendency.

Variability.

z-Scores: Location of Scores and Standardized Distributions.

Probability.

Probability and Samples: The Distribution of Sample Means.

Introduction to Hypothesis Testing.

Introduction to the t Statistic

The t Test for Two Independent Samples

Introduction to Analysis of Variance

Repeated-Measures and Two-Factor Analysis of Variance

Correlation and Regression.

The Chi-Square Statistic: Tests for Goodness of Fit and Independence

Filters

Exam 11: The t Test for Two Related Samples

For a repeated-measures study,as the sample mean difference increases,the likelihood of rejecting the null hypothesis also increases.

For a repeated-measures study,if the null hypothesis is true,then what value should be obtained for the sample mean?

For a repeated-measures design,the sample mean difference is always located exactly in the center of the confidence interval estimate for the population mean difference.

A matched-subjects study and an independent-measures study both produced a t statistic with df = 10.How many individuals participated in each study?

If other factors are held constant,which of the following sets of data is most likely to produce a significant value for the repeated-measures t statistic?

The null hypothesis for a repeated-measures test states:

A repeated-measures study comparing two treatments with a sample of n = 4 participants produces MD = 3 with SS = 48 for the set of difference scores.What is the repeated-measures t statistic for these data?

A repeated-measures study comparing two treatments with n = 4 participants produces MD = 2 and SS = 75 for the difference scores.What is the estimated standard error for the sample mean difference?

One concern for a repeated-measures study is that the participants in one treatment may have different characteristics than the participants in the other treatment.

The following data were obtained from a repeated-measures research study.What is the value of MD for these data? Subject 1st 2 nd \#1 10 15 \#2 4 8 \#3 7 5 \#4 6 11

What is indicated by a large variance for a sample of difference scores?

For a repeated-measures study,a small variance for the difference scores indicates that the treatment effect is consistent across participants.

A researcher uses a repeated-measures design to compare individuals' performance before treatment with their performance after treatment.If all the participants show improved performance of 8 or 9 points after treatment,what should the researcher find?

A researcher reports t(12)= 2.86,p < .05 for a repeated-measures research study.How many individuals participated in the study?

The estimated standard error in the denominator of the repeated-measures t statistic measures the typical mean difference that is expected for a sample selected from a population with a zero mean difference.

A repeated-measures research study uses a total of 20 participants to compare two treatment conditions.If the results are used to construct a 90% confidence interval for the population mean difference,then the t values will be ±1.729.

What is the value of the estimated standard error for the following set of D-scores? Scores: 2,2,10,2

For the following data from a repeated-measures study,the sample mean difference is MD = 1. Participant 1 5 4 6 5 2

A researcher uses a repeated-measures study to compare two treatment conditions with a set of 20 scores in each treatment.What is the value of df for the repeated-measures t statistic?

Introduction to Statistics.

Frequency Distributions.

Central Tendency.

Variability.

z-Scores: Location of Scores and Standardized Distributions.

Probability.

Probability and Samples: The Distribution of Sample Means.

Introduction to Hypothesis Testing.

Introduction to the t Statistic

The t Test for Two Independent Samples

Introduction to Analysis of Variance

Repeated-Measures and Two-Factor Analysis of Variance

Correlation and Regression.

The Chi-Square Statistic: Tests for Goodness of Fit and Independence

Filters