Question 1

Both the c 2 test and the Wilcoxin signed ranks test are one-tailed tests.

Accepted Answer

A) True 
 B)False

Question 2

The statistics ( U or U' ) used in the Mann-Whitney U test, measure _________.

Accepted Answer

A)  the differences between the means of the two groups 
B)  the direction of the differences between pairs of scores 
C)  the power of the experiment 
D)  the separation between the two groups 
A)  the differences between the means of the two groups 
B)  the direction of the differences between pairs of scores 
C)  the power of the experiment 
D)  the separation between the two groups

Question 3

Nonparametric tests are generally more powerful than parametric tests.

Accepted Answer

A) True 
 B)False

Question 4

A c 2 test can only be applied to nominally scaled variables.

Accepted Answer

A) True 
 B)False

Question 5

The Kruskal-Wallis test is a nonparametric alternate for parametric one-way ANOVA, independent groups design.

Accepted Answer

A) True 
 B)False

Question 6

In order to properly use the c 2 test each cell should have a value of fe equal to or greater than 10.

Accepted Answer

A) True 
 B)False

Question 7

Chi-square may be used with _________

Accepted Answer

A)  nominal data 
B)  ordinal data 
C)  interval data 
D)  ratio data 
E)  all of these 
A)  nominal data 
B)  ordinal data 
C)  interval data 
D)  ratio data 
E)  all of these

Question 8

Which of the following are true?

Accepted Answer

A)  f o is the symbol for the observed frequency 
B)  f e is the symbol for the expected frequency 
C)  c 2 is the symbol for chi-square 
D)  all of these 
A)  f o is the symbol for the observed frequency 
B)  f e is the symbol for the expected frequency 
C)  c 2 is the symbol for chi-square 
D)  all of these

Question 9

Consider the following set of scores: 81, 83, 84, 84, 87. What rank would you give to a score of 84?

Accepted Answer

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

Question 10

Which of the following tests are parametric statistical tests:

Accepted Answer

A)  sign test 
B)  chi-square test 
C)  Wilcoxin signed ranks test 
D)  none of these 
A)  sign test 
B)  chi-square test 
C)  Wilcoxin signed ranks test 
D)  none of these

Question 11

Define expected frequency ( fe ).

Accepted Answer

The term "expected frequency" in statist

Question 12

Chi-square is used to test differences between _________.

Accepted Answer

A)  proportions 
B)  means 
C)  variances 
D)  none of these 
A)  proportions 
B)  means 
C)  variances 
D)  none of these

Question 13

c 2 is basically a measure of the overall discrepancy between f e and f o .

Accepted Answer

A) True 
 B)False

Question 14

The theoretical sampling distribution of c 2 assumes that the distribution is discrete.

Accepted Answer

A) True 
 B)False

Question 15

In general, nonparametric tests have fewer requirements or assumptions about population characteristics than parametric tests do.

Accepted Answer

A) True 
 B)False

Question 16

The Wilcoxin signed ranks test is used only with ordinal data.

Accepted Answer

A) True 
 B)False

Question 17

The sampling distribution of c 2 is normally distributed.

Accepted Answer

A) True 
 B)False

Question 18

The value of c 2obt for the table in question 56 is _________.

Accepted Answer

A)  19.01 
B)  21.38 
C)  24.87 
D)  16.82 
A)  19.01 
B)  21.38 
C)  24.87 
D)  16.82

Question 19

In Chapter 16, we presented the data from an independent groups design and asked if it was appropriate to use parametric ANOVA. The data are presented again here. The correct answer was that it was not appropriate to use parametric ANOVA because of unequal n s and homogeneity of variance assumption violation. Instead, analyze the data with the Kruskal-Wallis test.   What do you conclude, using a = 0.05?

Accepted Answer

A)  retain H0 . There is no difference in the populations. 
B)  accept H0 . There is no difference in the populations. 
C)  reject H0 . At least one of the population means differs from at least one of the others. 
D)  reject H0 . At least one of the distributions differs from at least one of the others. 
A)  retain H0 . There is no difference in the populations. 
B)  accept H0 . There is no difference in the populations. 
C)  reject H0 . At least one of the population means differs from at least one of the others. 
D)  reject H0 . At least one of the distributions differs from at least one of the others.

Question 20

In general, the Kruskal-Wallis test is as powerful as parametric ANOVA.

Accepted Answer

A) True 
 B)False

Both the c 2 test and the Wilcoxin signed ranks test are one-tailed tests.

The statistics ( U or U' ) used in the Mann-Whitney U test, measure _________.

Nonparametric tests are generally more powerful than parametric tests.

A c 2 test can only be applied to nominally scaled variables.

The Kruskal-Wallis test is a nonparametric alternate for parametric one-way ANOVA, independent groups design.

In order to properly use the c 2 test each cell should have a value of fe equal to or greater than 10.

Chi-square may be used with _________

Which of the following are true?

Consider the following set of scores: 81, 83, 84, 84, 87. What rank would you give to a score of 84?

Which of the following tests are parametric statistical tests:

Define expected frequency ( f_e ).

Chi-square is used to test differences between _________.

c 2 is basically a measure of the overall discrepancy between f e and f o .

The theoretical sampling distribution of c 2 assumes that the distribution is discrete.

In general, nonparametric tests have fewer requirements or assumptions about population characteristics than parametric tests do.

The Wilcoxin signed ranks test is used only with ordinal data.

The sampling distribution of c 2 is normally distributed.

The value of c 2obt for the table in question 56 is _________.

In general, the Kruskal-Wallis test is as powerful as parametric ANOVA.

Statistics and Scientific Method

Basic Mathematical and Measurement Concepts

Frequency Distributions

Measures of Central Tendency and Variability

The Normal Curve and Standard Scores

Correlation

Linear Regression

Random Sampling and Probability

Binomial Distribution

Introduction to Hypothesis Testing: Using the Sign Test

Power

Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test

Students T Test for Single Samples

Students T Test for Correlated and Independent Groups

Introduction to the Analysis of Variance

Introduction to the Two-Way Analysis of Variance

Filters

Exam 17: Chi-Square and Other Nonparametric Tests

Both the c 2 test and the Wilcoxin signed ranks test are one-tailed tests.

The statistics ( U or U' ) used in the Mann-Whitney U test, measure _________.

Nonparametric tests are generally more powerful than parametric tests.

A c 2 test can only be applied to nominally scaled variables.

The Kruskal-Wallis test is a nonparametric alternate for parametric one-way ANOVA, independent groups design.

In order to properly use the c 2 test each cell should have a value of fe equal to or greater than 10.

Chi-square may be used with _________

Which of the following are true?

Consider the following set of scores: 81, 83, 84, 84, 87. What rank would you give to a score of 84?

Which of the following tests are parametric statistical tests:

Define expected frequency ( fe ).

Chi-square is used to test differences between _________.

c 2 is basically a measure of the overall discrepancy between f e and f o .

The theoretical sampling distribution of c 2 assumes that the distribution is discrete.

In general, nonparametric tests have fewer requirements or assumptions about population characteristics than parametric tests do.

The Wilcoxin signed ranks test is used only with ordinal data.

The sampling distribution of c 2 is normally distributed.

The value of c 2obt for the table in question 56 is _________.

In general, the Kruskal-Wallis test is as powerful as parametric ANOVA.

Statistics and Scientific Method

Basic Mathematical and Measurement Concepts

Frequency Distributions

Measures of Central Tendency and Variability

The Normal Curve and Standard Scores

Correlation

Linear Regression

Random Sampling and Probability

Binomial Distribution

Introduction to Hypothesis Testing: Using the Sign Test

Power

Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test

Students T Test for Single Samples

Students T Test for Correlated and Independent Groups

Introduction to the Analysis of Variance

Introduction to the Two-Way Analysis of Variance

Filters

Define expected frequency ( f_e ).