Question 1

The estimated standard error for difference scores is the denominator of the test statistic for a related samples t test.

Accepted Answer

A) True 
 B)False

Question 2

A researcher sampled 16 couples and measured the mean difference in their marital satisfaction.Each couple was paired and the differences in their ratings (on a 7-point scale)were taken.If the mean difference in satisfaction ratings for this sample was 1.8±2.0 (   ),then what is the decision at a .05 level of significance?

Accepted Answer

A) Satisfaction ratings do not significantly differ,t(14)= 0.90. 
B) Satisfaction ratings do not significantly differ,t(15)= 0.90. 
C) Satisfaction ratings significantly differ,t(14)= 3.60. 
D) Satisfaction ratings significantly differ,t(15)= 3.60. 
A) Satisfaction ratings do not significantly differ,t(14)= 0.90. 
B) Satisfaction ratings do not significantly differ,t(15)= 0.90. 
C) Satisfaction ratings significantly differ,t(14)= 3.60. 
D) Satisfaction ratings significantly differ,t(15)= 3.60.

Question 3

A professor computes the mean difference in exam scores before and after a lecture as 9.0±14.5 (   ),and this difference was significant.What is the effect size for this result using estimated Cohen's d?

Accepted Answer

A) d = 0.62 (medium effect) 
B) d = 1.61 (medium effect) 
C) d = 0.62 (large effect) 
D) d = 1.61 (large effect) 
A) d = 0.62 (medium effect) 
B) d = 1.61 (medium effect) 
C) d = 0.62 (large effect) 
D) d = 1.61 (large effect)

Question 4

Which of the following is an advantage for selecting related samples compared to selecting independent samples in behavioral research?

Accepted Answer

A) Selecting related samples can be more practical. 
B) Selecting related samples minimizes standard error. 
C) Selecting related samples increases power. 
D) All of the above. 
A) Selecting related samples can be more practical. 
B) Selecting related samples minimizes standard error. 
C) Selecting related samples increases power. 
D) All of the above.

Question 5

When reporting data in a results section,it is ____ necessary to identify the type of t test computed.

Accepted Answer

A) always 
B) not 
C) usually 
D) significantly 
A) always 
B) not 
C) usually 
D) significantly

Question 6

Participants can be matched through experimental manipulation or through natural occurrences to use the matched-pairs design.

Accepted Answer

A) True 
 B)False

Question 7

Selecting related samples can be more practical in that selecting related samples may provide a better way to test your hypotheses.

Accepted Answer

A) True 
 B)False

Question 8

The repeated measures design,but not the matched-pairs design,is associated with greater power to detect an effect compared with the independent samples design.

Accepted Answer

A) True 
 B)False

Question 9

Which of the following identifies a large effect size for a t test?

Accepted Answer

A)    = .25 
B) d = .76 
C)    = .20 
D) t = 2.32. 
A)    = .25 
B) d = .76 
C)    = .20 
D) t = 2.32.

Question 10

The type of t test that was used is typically reported in a data analysis section that precedes the results section in an APA-style paper.

Accepted Answer

A) True 
 B)False

Question 11

The related samples design can ________.

Accepted Answer

A) eliminate within groups error 
B) reduce power 
C) increase standard error 
D) be more practical 
A) eliminate within groups error 
B) reduce power 
C) increase standard error 
D) be more practical

Question 12

A researcher conducts a study in which different participants are independently observed within groups,and the same participants are observed between groups.If there are only two groups,then what type of t test is appropriate for this study?

Accepted Answer

A) one-sample t test 
B) two-independent sample t test 
C) related samples t test 
D) There is not enough information to answer this question. 
A) one-sample t test 
B) two-independent sample t test 
C) related samples t test 
D) There is not enough information to answer this question.

Question 13

A researcher selected a sample of 24 participants and observed their behavior at two times.The result of a related samples t test at a .05 level of significance was t = 2.68.Which of the following correctly describes the result of this test?

Accepted Answer

A) A related samples t test is the correct tests for this study;the result of the test is not significant 
B) A related samples t test is the correct tests for this study;the result of the test is significant 
C) The result of the test cannot be appropriately interpreted because the related samples t test was not the correct test for this study;the researcher should have computed a two-independent sample t test 
D) The result of the test cannot be appropriately interpreted because the related samples t test was not the correct test for this study;the researcher should have computed a one-sample t test 
A) A related samples t test is the correct tests for this study;the result of the test is not significant 
B) A related samples t test is the correct tests for this study;the result of the test is significant 
C) The result of the test cannot be appropriately interpreted because the related samples t test was not the correct test for this study;the researcher should have computed a two-independent sample t test 
D) The result of the test cannot be appropriately interpreted because the related samples t test was not the correct test for this study;the researcher should have computed a one-sample t test

Question 14

The estimate for standard error is placed in the numerator of the test statistic for a related samples t test.

Accepted Answer

A) True 
 B)False

Question 15

A researcher computes the mean difference in locomotion in a sample of 12 rats before and 30 minutes after an injection of amphetamine.Rats were placed in a box with infrared beams.The number of times rats crossed the beams was used as a measure of locomotion.The mean difference in locomotion was 6.2±8.4 (   ),and this difference was significant.What is the effect size for this result using estimated Cohen's d?

Accepted Answer

A) d = 0.74 (medium effect) 
B) d = 1.36 (medium effect) 
C) d = 0.74 (large effect) 
D) d = 1.36 (large effect) 
A) d = 0.74 (medium effect) 
B) d = 1.36 (medium effect) 
C) d = 0.74 (large effect) 
D) d = 1.36 (large effect)

Question 16

A researcher computes a related samples t test with t(20)= 2.096.In this example,the decision is to reject the null hypothesis for a one-tailed test,but not for a two-tailed test.

Accepted Answer

A) True 
 B)False

Question 17

A researcher computes d = .26.Hence,it is appropriate to conclude that 26% of the variability in the dependent variable can be accounted for by the presence of the independent variable.

Accepted Answer

A) True 
 B)False

Question 18

To compute a related samples t test,a researcher has to know many values.Which of the following is NOT a value that the researcher must know to compute this test?

Accepted Answer

A) the estimated standard error for difference scores 
B) the population variance of difference scores 
C) the sample size or number of pairs of scores 
D) the sample variance of difference scores 
A) the estimated standard error for difference scores 
B) the population variance of difference scores 
C) the sample size or number of pairs of scores 
D) the sample variance of difference scores

Question 19

A researcher sampled 25 participants and measured their alcohol consumption (in ounces)in both a home and a bar setting.If the mean difference in satisfaction ratings for this sample was 11.4±2.5 (   ),then what is the decision at a .05 level of significance?

Accepted Answer

A) Alcohol consumption significantly differed,t(23)= 4.56. 
B) Alcohol consumption significantly differed,t(24)= 4.56. 
C) Alcohol consumption significantly differed,t(23)= 22.80. 
D) Alcohol consumption significantly differed,t(24)= 22.80. 
A) Alcohol consumption significantly differed,t(23)= 4.56. 
B) Alcohol consumption significantly differed,t(24)= 4.56. 
C) Alcohol consumption significantly differed,t(23)= 22.80. 
D) Alcohol consumption significantly differed,t(24)= 22.80.

The estimated standard error for difference scores is the denominator of the test statistic for a related samples t test.

A professor computes the mean difference in exam scores before and after a lecture as 9.0±14.5 ( ),and this difference was significant.What is the effect size for this result using estimated Cohen's d?

Which of the following is an advantage for selecting related samples compared to selecting independent samples in behavioral research?

When reporting data in a results section,it is ____ necessary to identify the type of t test computed.

Participants can be matched through experimental manipulation or through natural occurrences to use the matched-pairs design.

Selecting related samples can be more practical in that selecting related samples may provide a better way to test your hypotheses.

The repeated measures design,but not the matched-pairs design,is associated with greater power to detect an effect compared with the independent samples design.

Which of the following identifies a large effect size for a t test?

The type of t test that was used is typically reported in a data analysis section that precedes the results section in an APA-style paper.

The related samples design can ________.

A researcher conducts a study in which different participants are independently observed within groups,and the same participants are observed between groups.If there are only two groups,then what type of t test is appropriate for this study?

A researcher selected a sample of 24 participants and observed their behavior at two times.The result of a related samples t test at a .05 level of significance was t = 2.68.Which of the following correctly describes the result of this test?

The estimate for standard error is placed in the numerator of the test statistic for a related samples t test.

A researcher computes a related samples t test with t(20)= 2.096.In this example,the decision is to reject the null hypothesis for a one-tailed test,but not for a two-tailed test.

A researcher computes d = .26.Hence,it is appropriate to conclude that 26% of the variability in the dependent variable can be accounted for by the presence of the independent variable.

To compute a related samples t test,a researcher has to know many values.Which of the following is NOT a value that the researcher must know to compute this test?

A researcher sampled 25 participants and measured their alcohol consumption (in ounces)in both a home and a bar setting.If the mean difference in satisfaction ratings for this sample was 11.4±2.5 ( ),then what is the decision at a .05 level of significance?

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

Two-Way Analysis of Variance: Between-Subjects Factorial Design

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Understanding Correlation Coefficients in Statistical Analysis

Filters

Exam 10: Testing Means: Related-Samples T Test With Confidence Intervals

The estimated standard error for difference scores is the denominator of the test statistic for a related samples t test.

A professor computes the mean difference in exam scores before and after a lecture as 9.0±14.5 ( ),and this difference was significant.What is the effect size for this result using estimated Cohen's d?

Which of the following is an advantage for selecting related samples compared to selecting independent samples in behavioral research?

When reporting data in a results section,it is ____ necessary to identify the type of t test computed.

Participants can be matched through experimental manipulation or through natural occurrences to use the matched-pairs design.

Selecting related samples can be more practical in that selecting related samples may provide a better way to test your hypotheses.

The repeated measures design,but not the matched-pairs design,is associated with greater power to detect an effect compared with the independent samples design.

Which of the following identifies a large effect size for a t test?

The type of t test that was used is typically reported in a data analysis section that precedes the results section in an APA-style paper.

The related samples design can ________.

A researcher conducts a study in which different participants are independently observed within groups,and the same participants are observed between groups.If there are only two groups,then what type of t test is appropriate for this study?

A researcher selected a sample of 24 participants and observed their behavior at two times.The result of a related samples t test at a .05 level of significance was t = 2.68.Which of the following correctly describes the result of this test?

The estimate for standard error is placed in the numerator of the test statistic for a related samples t test.

A researcher computes a related samples t test with t(20)= 2.096.In this example,the decision is to reject the null hypothesis for a one-tailed test,but not for a two-tailed test.

A researcher computes d = .26.Hence,it is appropriate to conclude that 26% of the variability in the dependent variable can be accounted for by the presence of the independent variable.

To compute a related samples t test,a researcher has to know many values.Which of the following is NOT a value that the researcher must know to compute this test?

A researcher sampled 25 participants and measured their alcohol consumption (in ounces)in both a home and a bar setting.If the mean difference in satisfaction ratings for this sample was 11.4±2.5 ( ),then what is the decision at a .05 level of significance?

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

Two-Way Analysis of Variance: Between-Subjects Factorial Design

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Understanding Correlation Coefficients in Statistical Analysis

Filters