Question 1

If the null hypothesis is true and we run the Mann-Whitney test on data, the expectation is that the _____ in the two groups will be approximately equal.

Accepted Answer

A)  means 
B)  ranks 
C)  variances 
D)  mean ranks 
A)  means 
B)  ranks 
C)  variances 
D)  mean ranks D

Question 2

Which of the following is not a condition for using non-parametric tests?

Accepted Answer

A)  When one or more variables (including the dependent variable) is measured on either a nominal or ordinal scale 
B)  When the sample is normally distributed 
C)  When one or more variables in the data set (including the dependent variable) violates the normality assumption 
D)  When the sample size is small (less than 20 cases) 
A)  When one or more variables (including the dependent variable) is measured on either a nominal or ordinal scale 
B)  When the sample is normally distributed 
C)  When one or more variables in the data set (including the dependent variable) violates the normality assumption 
D)  When the sample size is small (less than 20 cases) B

Question 3

The non-parametric equivalent of the two-sample independent t-test is the

Accepted Answer

A)  Mann-Whitney test 
B)  Wilcoxon sign test 
C)  Friedman test 
D)  Kruskal-Wallis test 
A)  Mann-Whitney test 
B)  Wilcoxon sign test 
C)  Friedman test 
D)  Kruskal-Wallis test A

Question 4

A psychologist was interested in whether there was a gender difference in the use of email. She hypothesized that because women are generally better communicators than men, they would spend longer using email than their male counterparts. To test this hypothesis, the researcher sat by the email computers in her research methods laboratory and when someone started using email, she noted whether they were male or female and then timed how long they spent using email (in minutes). How should she analyse the differences in males and females? (Use the output below to help you decide.)

Accepted Answer

A)  Paired t-test 
B)  Mann-Whitney test 
C)  Wilcoxon signed-rank test 
D)  Independent t-test 
A)  Paired t-test 
B)  Mann-Whitney test 
C)  Wilcoxon signed-rank test 
D)  Independent t-test

Question 5

In a study investigating whether there is a difference in age at diagnosis of type 2 diabetes for young adult males and females, the result obtained for a two-tailed probability is U =3, p = .09 ( HYPERLINK "http://mlsc.lboro.ac.uk/resources/statistics/Mannwhitney.pdf" http://mlsc.lboro.ac.uk/resources/statistics/Mannwhitney.pdf). What does this result signify?

Accepted Answer

A)  Indeterminate result 
B)  No real evidence that age at diagnosis is different for young males and females 
C)  Significant and therefore there is evidence of a difference in age at diagnosis 
D)  None of the above 
A)  Indeterminate result 
B)  No real evidence that age at diagnosis is different for young males and females 
C)  Significant and therefore there is evidence of a difference in age at diagnosis 
D)  None of the above

Question 6

The non-parametric equivalent of the one-way repeated-measures ANOVA is

Accepted Answer

A)  Mann-Whitney test 
B)  Wilcoxon sign test 
C)  Friedman test 
D)  Kruskal-Wallis test 
A)  Mann-Whitney test 
B)  Wilcoxon sign test 
C)  Friedman test 
D)  Kruskal-Wallis test

Question 7

Ten visitors to an art gallery are asked to rate two sculptures for aesthetic value on a scale of 1(low value) to 5 (high value).The results are as follows. What conclusion would be drawn? Test Statistics(b)
 
A. Based on positive ranks.

Accepted Answer

A)  There is a significant difference in ratings, with the Henry Moore piece being rated higher than the Michelangelo piece. 
B)  There is no significant difference in ratings. 
C)  There is a significant difference in ratings, with the Henry Moore piece being rated lower than the Michelangelo piece. 
D)  Not enough information. 
A)  There is a significant difference in ratings, with the Henry Moore piece being rated higher than the Michelangelo piece. 
B)  There is no significant difference in ratings. 
C)  There is a significant difference in ratings, with the Henry Moore piece being rated lower than the Michelangelo piece. 
D)  Not enough information.

Question 8

In an experiment involving cholesterol levels in type A and type B men (http://www.sjsu.edu/faculty/gerstman/EpiInfo/cont-two.htm), the following data output was reported for a Kruskal-Wallis test Chi Square 6.333
Df 1
Asymp. Sig 0.01185
What does this result suggest?

Accepted Answer

A)  There is a significant difference between the two groups, p = .011853. 
B)  There is no significant difference between the groups, p > .05. 
C)  There is no significant difference between the groups, p = .011853. 
D)  None of the above. 
A)  There is a significant difference between the two groups, p = .011853. 
B)  There is no significant difference between the groups, p > .05. 
C)  There is no significant difference between the groups, p = .011853. 
D)  None of the above.

Question 9

Another term for non-parametric tests is

Accepted Answer

A)  Non-normal tests 
B)  Data-free tests 
C)  Non-continuous tests 
D)  Distribution-free tests 
A)  Non-normal tests 
B)  Data-free tests 
C)  Non-continuous tests 
D)  Distribution-free tests

Question 10

A researcher was interested in stress levels of lecturers during lectures. She took the same group of eight lecturers and measured their anxiety (out of 15) during a normal lecture and again in a lecture in which she had paid students to be disruptive and misbehave. The data were not normally distributed. Which test should she use to compare her experimental conditions?

Accepted Answer

A)  Paired t-test 
B)  Mann-Whitney test 
C)  Wilcoxon signed-rank test 
D)  Wilcoxon rank-sum test 
A)  Paired t-test 
B)  Mann-Whitney test 
C)  Wilcoxon signed-rank test 
D)  Wilcoxon rank-sum test

Question 11

The non-parametric equivalent of the paired-samples t-test is the

Accepted Answer

A)  Mann-Whitney test 
B)  Signed-rank test 
C)  Friedman test 
D)  Kruskal-Wallis test 
A)  Mann-Whitney test 
B)  Signed-rank test 
C)  Friedman test 
D)  Kruskal-Wallis test

Question 12

Ten visitors to an art gallery are asked to rate a Van Gogh painting alongside a sculpture each by Henry Moore and Michelangelo. What test would be used to see if there is a significant difference in ratings amongst the three pieces?

Accepted Answer

A)  Mann-Whitney test 
B)  Signed-rank test 
C)  Friedman test 
D)  Kruskal-Wallis test 
A)  Mann-Whitney test 
B)  Signed-rank test 
C)  Friedman test 
D)  Kruskal-Wallis test

Question 13

Which of the following tests does not constitute an alternative to the Mann-Whitney test?

Accepted Answer

A)  Kolmogorov-Smirnov Z 
B)  Kruskal-Wallis 
C)  Moses extreme reactions 
D)  Wald-Wolfowitz runs 
A)  Kolmogorov-Smirnov Z 
B)  Kruskal-Wallis 
C)  Moses extreme reactions 
D)  Wald-Wolfowitz runs

Question 14

When would the Jonckheere-Terpstra test be used?

Accepted Answer

A)  When the Kruskal-Wallis test returns an insignificant result. 
B)  When comparing large numbers of groups. 
C)  When the groups being compared are expected to produce a meaningful order of median values. 
D)  None of the above. 
A)  When the Kruskal-Wallis test returns an insignificant result. 
B)  When comparing large numbers of groups. 
C)  When the groups being compared are expected to produce a meaningful order of median values. 
D)  None of the above.

Question 15

Which of the following tests allows for comparing several conditions?

Accepted Answer

A)  Wilcoxon signed-rank test 
B)  Mann-Whitney test 
C)  Kruskal-Wallis test 
D)  Wilcoxon rank-sum test 
A)  Wilcoxon signed-rank test 
B)  Mann-Whitney test 
C)  Kruskal-Wallis test 
D)  Wilcoxon rank-sum test

Question 16

Ten visitors to an art gallery are asked to rate two sculptures for aesthetic value on a scale of 1(low value) to 5 (high value) What procedure would be used to test the hypothesis that the ratings are not significantly different?

Accepted Answer

A)  Mann-Whitney test 
B)  Signed-rank test 
C)  Friedman test 
D)  Kruskal-Wallis test 
A)  Mann-Whitney test 
B)  Signed-rank test 
C)  Friedman test 
D)  Kruskal-Wallis test

Question 17

The non-parametric equivalent of the one-way between-measures ANOVA is

Accepted Answer

A)  Mann-Whitney test 
B)  Wilcoxon sign test 
C)  Friedman test 
D)  Kruskal-Wallis test 
A)  Mann-Whitney test 
B)  Wilcoxon sign test 
C)  Friedman test 
D)  Kruskal-Wallis test

Question 18

What might be a reason to choose parametric tests over non-parametric tests even if some parametric assumptions are violated?

Accepted Answer

A)  Non-parametric tests are harder to carry out. 
B)  Non-parametric tests are less powerful. 
C)  Parametric tests are less robust. 
D)  Parametric tests are more likely to show causal effects. 
A)  Non-parametric tests are harder to carry out. 
B)  Non-parametric tests are less powerful. 
C)  Parametric tests are less robust. 
D)  Parametric tests are more likely to show causal effects.

Question 19

Look at the outputs below obtained from running Friedman's ANOVA on data relating to the use of three different drugs on groups of patients. What does this information mean? Ranks
  Test Statistica
   a Friedman Test
Http://www.statsguides.bham.ac.uk/TSQ/TSQ4/np/Q1.htm

Accepted Answer

A)  There are differences between each drug used and there are no sampling errors. 
B)  There are no differences between each drug used and there are no sampling errors. 
C)  There are differences between each drug used and significant sampling errors. 
D)  None of the above. 
A)  There are differences between each drug used and there are no sampling errors. 
B)  There are no differences between each drug used and there are no sampling errors. 
C)  There are differences between each drug used and significant sampling errors. 
D)  None of the above.

Question 20

What would this result be if a one-tailed probability were required?

Accepted Answer

A)  .045 
B)  .45 
C)  .09 
D)  None of the above 
A)  .045 
B)  .45 
C)  .09 
D)  None of the above

If the null hypothesis is true and we run the Mann-Whitney test on data, the expectation is that the _____ in the two groups will be approximately equal.

Which of the following is not a condition for using non-parametric tests?

The non-parametric equivalent of the two-sample independent t-test is the

The non-parametric equivalent of the one-way repeated-measures ANOVA is

Ten visitors to an art gallery are asked to rate two sculptures for aesthetic value on a scale of 1(low value) to 5 (high value).The results are as follows. What conclusion would be drawn? Test Statistics(b) A. Based on positive ranks.

In an experiment involving cholesterol levels in type A and type B men (http://www.sjsu.edu/faculty/gerstman/EpiInfo/cont-two.htm), the following data output was reported for a Kruskal-Wallis test Chi Square 6.333 Df 1 Asymp. Sig 0.01185 What does this result suggest?

Another term for non-parametric tests is

The non-parametric equivalent of the paired-samples t-test is the

Ten visitors to an art gallery are asked to rate a Van Gogh painting alongside a sculpture each by Henry Moore and Michelangelo. What test would be used to see if there is a significant difference in ratings amongst the three pieces?

Which of the following tests does not constitute an alternative to the Mann-Whitney test?

When would the Jonckheere-Terpstra test be used?

Which of the following tests allows for comparing several conditions?

Ten visitors to an art gallery are asked to rate two sculptures for aesthetic value on a scale of 1(low value) to 5 (high value) What procedure would be used to test the hypothesis that the ratings are not significantly different?

The non-parametric equivalent of the one-way between-measures ANOVA is

What might be a reason to choose parametric tests over non-parametric tests even if some parametric assumptions are violated?

Look at the outputs below obtained from running Friedman's ANOVA on data relating to the use of three different drugs on groups of patients. What does this information mean? Ranks Test Statistic^a ^{a Friedman Test} Http://www.statsguides.bham.ac.uk/TSQ/TSQ4/np/Q1.htm

What would this result be if a one-tailed probability were required?

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Correlation

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters

Exam 7: Non-Parametric Models

If the null hypothesis is true and we run the Mann-Whitney test on data, the expectation is that the _____ in the two groups will be approximately equal.

Which of the following is not a condition for using non-parametric tests?

The non-parametric equivalent of the two-sample independent t-test is the

The non-parametric equivalent of the one-way repeated-measures ANOVA is

Ten visitors to an art gallery are asked to rate two sculptures for aesthetic value on a scale of 1(low value) to 5 (high value).The results are as follows. What conclusion would be drawn? Test Statistics(b) A. Based on positive ranks.

In an experiment involving cholesterol levels in type A and type B men (http://www.sjsu.edu/faculty/gerstman/EpiInfo/cont-two.htm), the following data output was reported for a Kruskal-Wallis test Chi Square 6.333 Df 1 Asymp. Sig 0.01185 What does this result suggest?

Another term for non-parametric tests is

The non-parametric equivalent of the paired-samples t-test is the

Ten visitors to an art gallery are asked to rate a Van Gogh painting alongside a sculpture each by Henry Moore and Michelangelo. What test would be used to see if there is a significant difference in ratings amongst the three pieces?

Which of the following tests does not constitute an alternative to the Mann-Whitney test?

When would the Jonckheere-Terpstra test be used?

Which of the following tests allows for comparing several conditions?

Ten visitors to an art gallery are asked to rate two sculptures for aesthetic value on a scale of 1(low value) to 5 (high value) What procedure would be used to test the hypothesis that the ratings are not significantly different?

The non-parametric equivalent of the one-way between-measures ANOVA is

What might be a reason to choose parametric tests over non-parametric tests even if some parametric assumptions are violated?

Look at the outputs below obtained from running Friedman's ANOVA on data relating to the use of three different drugs on groups of patients. What does this information mean? Ranks Test Statistica a Friedman Test Http://www.statsguides.bham.ac.uk/TSQ/TSQ4/np/Q1.htm

What would this result be if a one-tailed probability were required?

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Correlation

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters

Look at the outputs below obtained from running Friedman's ANOVA on data relating to the use of three different drugs on groups of patients. What does this information mean? Ranks Test Statistic^a ^{a Friedman Test} Http://www.statsguides.bham.ac.uk/TSQ/TSQ4/np/Q1.htm