Question 1

If the expected frequencies are 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)  the test statistic value is equal to 0 and the frequencies observed fit well with the frequencies expected 
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)  the test statistic value is equal to 0 and the frequencies observed fit well with the frequencies expected B

Question 2

A researcher compares the frequency of participants who sleep primarily on their stomach,back,or side during the night.What is the critical value for a chi-square goodness-of-fit test at a .05 level of significance?

Accepted Answer

A)  2 
B)  3 
C)  3.84 
D)  5.99 
A)  2 
B)  3 
C)  3.84 
D)  5.99 D

Question 3

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. A

Question 4

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

Accepted Answer

A) True 
 B)False

Question 5

A researcher computes a 3 * 5 chi-square test for independence.What are the degrees of freedom for this test?

Accepted Answer

A)  3 
B)  5 
C)  8 
D)  15 
A)  3 
B)  5 
C)  8 
D)  15

Question 6

A researcher computes a 4 * 6 chi-square test for independence with a sample of 120 participants,with $\chi$2 = 14.79.What is the effect size for this result?

Accepted Answer

A)  .04 
B)  .20 
C)  .12 
D)  .35 
A)  .04 
B)  .20 
C)  .12 
D)  .35

Question 7

The degrees of freedom for a chi-square test for independence test are ______.

Accepted Answer

A)  k - 1 
B)  n - 1 
C)  (k1 - 1)(k2 - 1) 
D)  (k - 1)(n - 1) 
A)  k - 1 
B)  n - 1 
C)  (k1 - 1)(k2 - 1) 
D)  (k - 1)(n - 1)

Question 8

When the chi-square test for independence is significant,this indicates that two variables are related.

Accepted Answer

A) True 
 B)False

Question 9

A chi-square goodness-of-fit test is used to determine how well a set of observed frequencies "fits" with what was expected.

Accepted Answer

A) True 
 B)False

Question 10

A researcher computes a 3 * 4 chi-square test for independence with a sample of 50 participants,with $\chi$2 = 8.43.What is the effect size for this result?

Accepted Answer

A)  .08 
B)  .17 
C)  .29 
D)  .41 
A)  .08 
B)  .17 
C)  .29 
D)  .41

Question 11

Which of the following is an appropriate measure of effect size for a 2 * 2 chi-square test for independence?

Accepted Answer

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

Question 12

Parametric tests are often called distribution-free tests.

Accepted Answer

A) True 
 B)False

Question 13

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 14

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 15

A chi-square goodness-of-fit test shows that the frequencies observed fit well with those that were expected.Hence,the decision was to ______.

Accepted Answer

A)  reject the null hypothesis 
B)  retain the null hypothesis 
C)  no decision was made 
A)  reject the null hypothesis 
B)  retain the null hypothesis 
C)  no decision was made

Question 16

A chi-square goodness-of-fit test shows that the frequencies observed equal those that were expected.Hence,the value of the test statistic is ______.

Accepted Answer

A)  equal to 0 
B)  less than 0 
C)  small; less than the critical value but not necessarily equal to 0 
D)  large; greater than the critical value 
A)  equal to 0 
B)  less than 0 
C)  small; less than the critical value but not necessarily equal to 0 
D)  large; greater than the critical value

Question 17

A researcher conducts two chi-square tests.The 2 * 2 chi-square was $\chi$2 = 3.82.The 2 * 3 chi-square was $\chi$2 = 5.02.Which chi-square test resulted in a decision to reject the null hypothesis at a .05 level of significance?

Accepted Answer

A)  the 2* 2 chi-square 
B)  the 2 * 3 chi-square 
C)  both chi-square tests results in a decision to reject the null hypothesis 
D)  none; both chi-square tests result in a decision to retain the null hypothesis 
A)  the 2* 2 chi-square 
B)  the 2 * 3 chi-square 
C)  both chi-square tests results in a decision to reject the null hypothesis 
D)  none; both chi-square tests result in a decision to retain the null hypothesis

Question 18

The formula for the chi-square test measures the size of the discrepancy between observed and expected frequencies.

Accepted Answer

A) True 
 B)False

Question 19

A researcher conducts a chi-square goodness-of-fit test in which k = 2 and $\chi$2 = 3.98.What is the decision for this test at a .05 level of significance?

Accepted Answer

A)  retain the null hypothesis 
B)  reject the null hypothesis 
C)  there is not enough information to answer this question 
A)  retain the null hypothesis 
B)  reject the null hypothesis 
C)  there is not enough information to answer this question

Question 20

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

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

A researcher compares the frequency of participants who sleep primarily on their stomach,back,or side during the night.What is the critical value for a chi-square goodness-of-fit test at a .05 level of significance?

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

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

A researcher computes a 3 * 5 chi-square test for independence.What are the degrees of freedom for this test?

A researcher computes a 4 * 6 chi-square test for independence with a sample of 120 participants,with $\chi$ ² = 14.79.What is the effect size for this result?

The degrees of freedom for a chi-square test for independence test are ______.

When the chi-square test for independence is significant,this indicates that two variables are related.

A chi-square goodness-of-fit test is used to determine how well a set of observed frequencies "fits" with what was expected.

A researcher computes a 3 * 4 chi-square test for independence with a sample of 50 participants,with $\chi$ ² = 8.43.What is the effect size for this result?

Which of the following is an appropriate measure of effect size for a 2 * 2 chi-square test for independence?

Parametric tests are often called distribution-free tests.

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

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.

A chi-square goodness-of-fit test shows that the frequencies observed fit well with those that were expected.Hence,the decision was to ______.

A chi-square goodness-of-fit test shows that the frequencies observed equal those that were expected.Hence,the value of the test statistic is ______.

A researcher conducts two chi-square tests.The 2 * 2 chi-square was $\chi$ ² = 3.82.The 2 * 3 chi-square was $\chi$ ² = 5.02.Which chi-square test resulted in a decision to reject the null hypothesis at a .05 level of significance?

The formula for the chi-square test measures the size of the discrepancy between observed and expected frequencies.

A researcher conducts a chi-square goodness-of-fit test in which k = 2 and $\chi$ ² = 3.98.What is the decision for this test at a .05 level of significance?

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

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: Truehe Related-Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign

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

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

A researcher compares the frequency of participants who sleep primarily on their stomach,back,or side during the night.What is the critical value for a chi-square goodness-of-fit test at a .05 level of significance?

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

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

A researcher computes a 3 * 5 chi-square test for independence.What are the degrees of freedom for this test?

A researcher computes a 4 * 6 chi-square test for independence with a sample of 120 participants,with χ\chiχ 2 = 14.79.What is the effect size for this result?

The degrees of freedom for a chi-square test for independence test are ______.

When the chi-square test for independence is significant,this indicates that two variables are related.

A chi-square goodness-of-fit test is used to determine how well a set of observed frequencies "fits" with what was expected.

A researcher computes a 3 * 4 chi-square test for independence with a sample of 50 participants,with χ\chiχ 2 = 8.43.What is the effect size for this result?

Which of the following is an appropriate measure of effect size for a 2 * 2 chi-square test for independence?

Parametric tests are often called distribution-free tests.

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

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.

A chi-square goodness-of-fit test shows that the frequencies observed fit well with those that were expected.Hence,the decision was to ______.

A chi-square goodness-of-fit test shows that the frequencies observed equal those that were expected.Hence,the value of the test statistic is ______.

A researcher conducts two chi-square tests.The 2 * 2 chi-square was χ\chiχ 2 = 3.82.The 2 * 3 chi-square was χ\chiχ 2 = 5.02.Which chi-square test resulted in a decision to reject the null hypothesis at a .05 level of significance?

The formula for the chi-square test measures the size of the discrepancy between observed and expected frequencies.

A researcher conducts a chi-square goodness-of-fit test in which k = 2 and χ\chiχ 2 = 3.98.What is the decision for this test at a .05 level of significance?

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

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: Truehe Related-Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign

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

Correlation

Linear Regression and Multiple Regression

Nonparametric Tests: Tests for Ordinal Data

Filters

A researcher computes a 4 * 6 chi-square test for independence with a sample of 120 participants,with $\chi$ ² = 14.79.What is the effect size for this result?

A researcher computes a 3 * 4 chi-square test for independence with a sample of 50 participants,with $\chi$ ² = 8.43.What is the effect size for this result?

A researcher conducts two chi-square tests.The 2 * 2 chi-square was $\chi$ ² = 3.82.The 2 * 3 chi-square was $\chi$ ² = 5.02.Which chi-square test resulted in a decision to reject the null hypothesis at a .05 level of significance?

A researcher conducts a chi-square goodness-of-fit test in which k = 2 and $\chi$ ² = 3.98.What is the decision for this test at a .05 level of significance?