Question 1

Variance is not computed using the chi-square tests.

Accepted Answer

A) True 
 B)False  True

Question 2

The degrees of freedom for the chi-square test for independence are k - 1.

Accepted Answer

A) True 
 B)False  False

Question 3

Parametric tests are often called distribution-free tests.

Accepted Answer

A) True 
 B)False  False

Question 4

A researcher tests whether levels of education and income levels are related.In this study,he observes the following frequencies.If he computes a chi-square test for independence at a .05 level of significance,then what is the decision for this test?

Accepted Answer

A) Education and income level are related. 
B) Education and income level are not related. 
C) Education and income level are independent. 
D) Both B and C are appropriate. 
A) Education and income level are related. 
B) Education and income level are not related. 
C) Education and income level are independent. 
D) Both B and C are appropriate.

Question 5

The test statistic is the same for a chi-square goodness-of-fit test and a chi-square test for independence.

Accepted Answer

A) True 
 B)False

Question 6

A researcher records the frequency of participants selecting one of four new slogans for an advertising campaign.If it was expected that among 200 people polled there would be no preference for any one slogan,then what was the expected frequency for each slogan.

Accepted Answer

A) 25 people 
B) 50 people 
C) 100 people 
D) 200 people 
A) 25 people 
B) 50 people 
C) 100 people 
D) 200 people

Question 7

For a 2 $\times$ 2 chi-square test for independence,the value of a phi coefficient will equal the value of Cramer's V for a given data set.

Accepted Answer

A) True 
 B)False

Question 8

Which of the following is a statistical procedure used to test hypotheses about the discrepancy between the observed and expected frequencies in two or more nominal categories?

Accepted Answer

A) one-way ANOVA 
B) analysis of regression 
C) chi-square test 
D) all of the above 
A) one-way ANOVA 
B) analysis of regression 
C) chi-square test 
D) all of the above

Question 9

What is a key distinction between parametric tests and nonparametric tests in terms of scales of measurement?

Accepted Answer

A) Parametric tests are used for interval and ratio data,whereas nonparametric tests are used for nominal and ordinal data. 
B) Parametric tests are used for ordinal and nominal data,whereas nonparametric tests are used for interval and ratio data. 
C) Parametric tests are used for ordinal or interval data,whereas nonparametric tests are used for nominal data only. 
D) There is no distinction;both types of tests are used to analyze data on any scale of measurement. 
A) Parametric tests are used for interval and ratio data,whereas nonparametric tests are used for nominal and ordinal data. 
B) Parametric tests are used for ordinal and nominal data,whereas nonparametric tests are used for interval and ratio data. 
C) Parametric tests are used for ordinal or interval data,whereas nonparametric tests are used for nominal data only. 
D) There is no distinction;both types of tests are used to analyze data on any scale of measurement.

Question 10

To interpret a chi-square goodness-of-fit test,we compare observed and expected frequencies at each level of the categorical variable,and not across the levels of the categorical variable.

Accepted Answer

A) True 
 B)False

Question 11

Nonparametric tests do not make inferences about population parameters,although these tests can be used to test hypothesized relationships in the population.

Accepted Answer

A) True 
 B)False

Question 12

A researcher can correct for having expected frequencies smaller than five by

Accepted Answer

A) increasing the number of cells 
B) increasing the sample size 
C) decreasing the observed frequency 
D) both A and B 
A) increasing the number of cells 
B) increasing the sample size 
C) decreasing the observed frequency 
D) both A and B

Question 13

A researcher computes a 3 $\times$ 4 chi-square test for independence with a sample of 50 participants,with   = 8.43.What is the effect size for this result?

Accepted Answer

A) 0.08 
B) 0.17 
C) 0.29 
D) 0.41 
A) 0.08 
B) 0.17 
C) 0.29 
D) 0.41

Question 14

A chi-square goodness-of-fit test leads to a decision to retain the null hypothesis.Which of the following correctly explains this decision?

Accepted Answer

A) frequencies observed were significantly different from frequencies expected at each level of the categorical variable 
B) frequencies observed were significantly different from frequencies expected across the levels of the categorical variable 
C) frequencies observed were significantly different from frequencies expected within and between expected frequencies 
D) Frequencies observed were statistically similar to the frequencies expected at each level of the categorical variable 
A) frequencies observed were significantly different from frequencies expected at each level of the categorical variable 
B) frequencies observed were significantly different from frequencies expected across the levels of the categorical variable 
C) frequencies observed were significantly different from frequencies expected within and between expected frequencies 
D) Frequencies observed were statistically similar to the frequencies expected at each level of the categorical variable

Question 15

When the chi-square test for independence is significant,this indicates that there is significant variability between groups.

Accepted Answer

A) True 
 B)False

Question 16

We compute the frequency expected in each category using known ________ stated in the null hypothesis.

Accepted Answer

A) hypothesis tests 
B) proportions 
C) variances 
D) effect sizes 
A) hypothesis tests 
B) proportions 
C) variances 
D) effect sizes

Question 17

When computing a chi-square goodness-of-fit test,the frequency expected in a given cell should never be less than

Accepted Answer

A) the sample size 
B) the number of cells 
C) the frequency observed 
D) five 
A) the sample size 
B) the number of cells 
C) the frequency observed 
D) five

Question 18

Which of the following measures of effect size can be reported with a 3 $\times$ 4 chi-square test for independence?

Accepted Answer

A) proportion of variance 
B) the phi coefficient 
C) Cramer's V 
D) all of the above 
A) proportion of variance 
B) the phi coefficient 
C) Cramer's V 
D) all of the above

Question 19

If the expected frequencies equal to observed frequencies for a chi-square test for independence,what do we conclude?

Accepted Answer

A) the degrees of freedom for the test are equal to 0 
B) the test statistic value is equal to 0 
C) the frequencies observed fit well with the frequencies expected 
D) both B and C 
A) the degrees of freedom for the test are equal to 0 
B) the test statistic value is equal to 0 
C) the frequencies observed fit well with the frequencies expected 
D) both B and C

Question 20

The chi-square test is an example of a parametric test.

Accepted Answer

A) True 
 B)False

Variance is not computed using the chi-square tests.

The degrees of freedom for the chi-square test for independence are k - 1.

Parametric tests are often called distribution-free tests.

A researcher tests whether levels of education and income levels are related.In this study,he observes the following frequencies.If he computes a chi-square test for independence at a .05 level of significance,then what is the decision for this test?

The test statistic is the same for a chi-square goodness-of-fit test and a chi-square test for independence.

A researcher records the frequency of participants selecting one of four new slogans for an advertising campaign.If it was expected that among 200 people polled there would be no preference for any one slogan,then what was the expected frequency for each slogan.

For a 2 $\times$ 2 chi-square test for independence,the value of a phi coefficient will equal the value of Cramer's V for a given data set.

Which of the following is a statistical procedure used to test hypotheses about the discrepancy between the observed and expected frequencies in two or more nominal categories?

What is a key distinction between parametric tests and nonparametric tests in terms of scales of measurement?

To interpret a chi-square goodness-of-fit test,we compare observed and expected frequencies at each level of the categorical variable,and not across the levels of the categorical variable.

Nonparametric tests do not make inferences about population parameters,although these tests can be used to test hypothesized relationships in the population.

A researcher can correct for having expected frequencies smaller than five by

A chi-square goodness-of-fit test leads to a decision to retain the null hypothesis.Which of the following correctly explains this decision?

When the chi-square test for independence is significant,this indicates that there is significant variability between groups.

We compute the frequency expected in each category using known ________ stated in the null hypothesis.

When computing a chi-square goodness-of-fit test,the frequency expected in a given cell should never be less than

Which of the following measures of effect size can be reported with a 3 $\times$ 4 chi-square test for independence?

If the expected frequencies equal to observed frequencies for a chi-square test for independence,what do we conclude?

The chi-square test is an example of a parametric test.

Introduction to Statistics

Summarizing Data: Frequency Distributions in Tables and Graphs

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability

Probability, Normal Distributions, and Z Scores

Probability and Sampling Distributions

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample and Two-Independent Sample T Tests

Testing Means: Related Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated Measures Design

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

Correlation

Linear Regression and Multiple Regression

Nonparametric Tests: Tests for Ordinal Data

Filters

Exam 17: Nonparametric Tests: Chi-Square Tests

Variance is not computed using the chi-square tests.

The degrees of freedom for the chi-square test for independence are k - 1.

Parametric tests are often called distribution-free tests.

A researcher tests whether levels of education and income levels are related.In this study,he observes the following frequencies.If he computes a chi-square test for independence at a .05 level of significance,then what is the decision for this test?

The test statistic is the same for a chi-square goodness-of-fit test and a chi-square test for independence.

A researcher records the frequency of participants selecting one of four new slogans for an advertising campaign.If it was expected that among 200 people polled there would be no preference for any one slogan,then what was the expected frequency for each slogan.

For a 2 ×\times× 2 chi-square test for independence,the value of a phi coefficient will equal the value of Cramer's V for a given data set.

Which of the following is a statistical procedure used to test hypotheses about the discrepancy between the observed and expected frequencies in two or more nominal categories?

What is a key distinction between parametric tests and nonparametric tests in terms of scales of measurement?

To interpret a chi-square goodness-of-fit test,we compare observed and expected frequencies at each level of the categorical variable,and not across the levels of the categorical variable.

Nonparametric tests do not make inferences about population parameters,although these tests can be used to test hypothesized relationships in the population.

A researcher can correct for having expected frequencies smaller than five by

A researcher computes a 3 ×\times× 4 chi-square test for independence with a sample of 50 participants,with = 8.43.What is the effect size for this result?

A chi-square goodness-of-fit test leads to a decision to retain the null hypothesis.Which of the following correctly explains this decision?

When the chi-square test for independence is significant,this indicates that there is significant variability between groups.

We compute the frequency expected in each category using known ________ stated in the null hypothesis.

When computing a chi-square goodness-of-fit test,the frequency expected in a given cell should never be less than

Which of the following measures of effect size can be reported with a 3 ×\times× 4 chi-square test for independence?

If the expected frequencies equal to observed frequencies for a chi-square test for independence,what do we conclude?

The chi-square test is an example of a parametric test.

Introduction to Statistics

Summarizing Data: Frequency Distributions in Tables and Graphs

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability

Probability, Normal Distributions, and Z Scores

Probability and Sampling Distributions

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample and Two-Independent Sample T Tests

Testing Means: Related Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated Measures Design

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

Correlation

Linear Regression and Multiple Regression

Nonparametric Tests: Tests for Ordinal Data

Filters

For a 2 $\times$ 2 chi-square test for independence,the value of a phi coefficient will equal the value of Cramer's V for a given data set.

Which of the following measures of effect size can be reported with a 3 $\times$ 4 chi-square test for independence?