Question 1

Parametric tests give you a p-value, while non-parametric tests do not.

Accepted Answer

A) True 
 B)False  False

Question 2

Phoebe wants to know if feeding a new type of medicine to rats will cause them to learn how to run a maze more quickly. She has a sample of 20 rats and randomly assigns ten to the new medicine and ten to a placebo. She then records the time, in seconds, taken by each rat to complete a maze. What test should Phoebe use for her study? Why?

Accepted Answer

Independent samples t-test (or one-way ANOVA). Two groups that are independent being compared, outcome variable is interval.

Question 3

Parametric tests are used when the groups being compared are independent of each other.

Accepted Answer

A) True 
 B)False  False

Question 4

If you would like to compare the means of more than two groups that are not independent from each other, you should use ANOVA.

Accepted Answer

A) True 
 B)False

Question 5

If Marcy wants to know whether there is a significant difference between three groups with ordinal data, she should use the three-way ANOVA.

Accepted Answer

A) True 
 B)False

Question 6

Tests that involve nominal data are the same as tests that involve ratio data.

Accepted Answer

A) True 
 B)False

Question 7

Heidi is studying the effects of vitamin supplements and gender on infant growth. She would like to find out if it is true that vitamin supplements influence the growth of male infants but not female infants. Which of the following tests is most suitable for Heidi's study?

Accepted Answer

A)  One-way ANOVA 
B)  Two-way ANOVA 
C)  Independent samples t-test 
D)  Dependent samples t-test 
A)  One-way ANOVA 
B)  Two-way ANOVA 
C)  Independent samples t-test 
D)  Dependent samples t-test

Question 8

Fred would like to compare a sample mean to the population mean but he does not know the population standard deviation. He can use:

Accepted Answer

A)  Independent samples t-test 
B)  One-sample t-test or ANOVA 
C)  One-sample t-test only 
D)  Z-test or one-sample t-test 
A)  Independent samples t-test 
B)  One-sample t-test or ANOVA 
C)  One-sample t-test only 
D)  Z-test or one-sample t-test

Question 9

List three examples of parametric tests and three examples of non-parametric tests. Briefly state why you would use one group of tests but not the other.

Accepted Answer

Parametric: z-test, single-sample t-test

Question 10

What is the parametric alternative to the matched samples t-test?

Accepted Answer

A)  The independent samples t-test 
B)  The Wilcoxon signed-rank t-test 
C)  The one-way chi-square test 
D)  The Mann-Whitney U-test 
A)  The independent samples t-test 
B)  The Wilcoxon signed-rank t-test 
C)  The one-way chi-square test 
D)  The Mann-Whitney U-test

Question 11

If your outcome variable is interval, you will end up using a different type of test than if your outcome variable is ratio.

Accepted Answer

A) True 
 B)False

Question 12

If Enrica wants to examine the interaction between two variables, she can use the one-way ANOVA.

Accepted Answer

A) True 
 B)False

Question 13

The Spearman rank-ordered correlation coefficient is to the Pearson correlation coefficient as the Mann-Whitney U test is to…

Accepted Answer

A)  Z-test 
B)  One-sample t-test 
C)  Independent samples t-test 
D)  One-way chi-square test 
A)  Z-test 
B)  One-sample t-test 
C)  Independent samples t-test 
D)  One-way chi-square test

Question 14

William hypothesizes that money spent on shopping decreases with age for individuals over 60. He should test his hypothesis with:

Accepted Answer

A)  The z-test 
B)  The Pearson correlation coefficient 
C)  The single-sample t-test 
D)  The Wilcoxon signed-rank t-test 
A)  The z-test 
B)  The Pearson correlation coefficient 
C)  The single-sample t-test 
D)  The Wilcoxon signed-rank t-test

Question 15

The independent samples t-test can compare the means of up to three independent groups.

Accepted Answer

A) True 
 B)False

Question 16

If you would like to test whether the means from three groups that are dependent on each other differ, what test would you use? Why?

Accepted Answer

One-way repeated mea

Question 17

The type of test that you choose should take into consideration both the hypotheses and the type of outcome variable.

Accepted Answer

A) True 
 B)False

Question 18

A correlation is a method of analyzing qualitative data.

Accepted Answer

A) True 
 B)False

Question 19

Finding the correlation between two variables allows you to…

Accepted Answer

A)  Establish whether there is a difference between the means of the effects of both variables 
B)  Establish whether subjects in a sample differ from the population mean on average 
C)  Establish whether there is a meaningful relationship between the two variables 
D)  None of the above 
A)  Establish whether there is a difference between the means of the effects of both variables 
B)  Establish whether subjects in a sample differ from the population mean on average 
C)  Establish whether there is a meaningful relationship between the two variables 
D)  None of the above

Question 20

The Spearman rank-ordered correlation coefficient is an example of a non-parametric statistic.

Accepted Answer

A) True 
 B)False

Parametric tests give you a p-value, while non-parametric tests do not.

Parametric tests are used when the groups being compared are independent of each other.

If you would like to compare the means of more than two groups that are not independent from each other, you should use ANOVA.

If Marcy wants to know whether there is a significant difference between three groups with ordinal data, she should use the three-way ANOVA.

Tests that involve nominal data are the same as tests that involve ratio data.

Heidi is studying the effects of vitamin supplements and gender on infant growth. She would like to find out if it is true that vitamin supplements influence the growth of male infants but not female infants. Which of the following tests is most suitable for Heidi's study?

Fred would like to compare a sample mean to the population mean but he does not know the population standard deviation. He can use:

List three examples of parametric tests and three examples of non-parametric tests. Briefly state why you would use one group of tests but not the other.

What is the parametric alternative to the matched samples t-test?

If your outcome variable is interval, you will end up using a different type of test than if your outcome variable is ratio.

If Enrica wants to examine the interaction between two variables, she can use the one-way ANOVA.

The Spearman rank-ordered correlation coefficient is to the Pearson correlation coefficient as the Mann-Whitney U test is to…

William hypothesizes that money spent on shopping decreases with age for individuals over 60. He should test his hypothesis with:

The independent samples t-test can compare the means of up to three independent groups.

If you would like to test whether the means from three groups that are dependent on each other differ, what test would you use? Why?

The type of test that you choose should take into consideration both the hypotheses and the type of outcome variable.

A correlation is a method of analyzing qualitative data.

Finding the correlation between two variables allows you to…

The Spearman rank-ordered correlation coefficient is an example of a non-parametric statistic.

Introduction: Statistics--Who Needs Them

Types of Data

A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics

Measures of Central Tendency: Whats so Average About the Mean

Variability: the Law of Life

Where Am I Normal Distributions and Standard Scores

Basic Probability Theory

The Central Limit Theorem and Hypothesis Testing

The Z-Test

The T-Test

Analysis of Variance

Confidence Intervals and Effect Size: Building a Better Mousetrap

Correlation and Regression: Are We Related

The Chi-Square Test

Non-Parametric Tests

Filters

Exam 16: Which Test Should I Use and Why

Parametric tests give you a p-value, while non-parametric tests do not.

Parametric tests are used when the groups being compared are independent of each other.

If you would like to compare the means of more than two groups that are not independent from each other, you should use ANOVA.

If Marcy wants to know whether there is a significant difference between three groups with ordinal data, she should use the three-way ANOVA.

Tests that involve nominal data are the same as tests that involve ratio data.

Heidi is studying the effects of vitamin supplements and gender on infant growth. She would like to find out if it is true that vitamin supplements influence the growth of male infants but not female infants. Which of the following tests is most suitable for Heidi's study?

Fred would like to compare a sample mean to the population mean but he does not know the population standard deviation. He can use:

List three examples of parametric tests and three examples of non-parametric tests. Briefly state why you would use one group of tests but not the other.

What is the parametric alternative to the matched samples t-test?

If your outcome variable is interval, you will end up using a different type of test than if your outcome variable is ratio.

If Enrica wants to examine the interaction between two variables, she can use the one-way ANOVA.

The Spearman rank-ordered correlation coefficient is to the Pearson correlation coefficient as the Mann-Whitney U test is to…

William hypothesizes that money spent on shopping decreases with age for individuals over 60. He should test his hypothesis with:

The independent samples t-test can compare the means of up to three independent groups.

If you would like to test whether the means from three groups that are dependent on each other differ, what test would you use? Why?

The type of test that you choose should take into consideration both the hypotheses and the type of outcome variable.

A correlation is a method of analyzing qualitative data.

Finding the correlation between two variables allows you to…

The Spearman rank-ordered correlation coefficient is an example of a non-parametric statistic.

Introduction: Statistics--Who Needs Them

Types of Data

A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics

Measures of Central Tendency: Whats so Average About the Mean

Variability: the Law of Life

Where Am I Normal Distributions and Standard Scores

Basic Probability Theory

The Central Limit Theorem and Hypothesis Testing

The Z-Test

The T-Test

Analysis of Variance

Confidence Intervals and Effect Size: Building a Better Mousetrap

Correlation and Regression: Are We Related

The Chi-Square Test

Non-Parametric Tests

Filters