A researcher conducts two chi-square tests.The 2 $\times$ 2 chi-square was $\chi$2 = 3.82.The 2 $\times$ 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) the 2 $\times$ 2 chi-square B) the 2 $\times$ 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 $\times$ 2 chi-square B) the 2 $\times$ 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 researcher reports the following results for a chi-square test: $\chi$2(1)= 5.386,p < .05 (V = 0.224).If this test were a test for independence,then how many groups were observed?

A) 1 B) 2 C) 3 D) 4 A) 1 B) 2 C) 3 D) 4

A researcher reports the following results for a chi-square test: $\chi$2(1)= 5.386,p < .05 (V = 0.224).If this test were a goodness-of-fit test,then how many groups were observed?

A) 1 B) 2 C) 3 D) 4 A) 1 B) 2 C) 3 D) 4

Exam 17: Nonparametric Tests: Chi-Square Tests

A researcher conducts two chi-square tests.The 2 $\times$ 2 chi-square was $\chi$ ² = 3.82.The 2 $\times$ 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?

(Multiple Choice)

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Question 21

A researcher computes a 2 $\times$ 4 chi-square test for independence.What are the degrees of freedom for this test?

(Multiple Choice)

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Question 22

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

(Multiple Choice)

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Question 23

If = 4.79,then a chi-square goodness-of-fit test would be significant when k = 2,but not when k = 3.

(True/False)

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Question 24

The phi coefficient can be used to estimate the effect size of a 2 $\times$ 2 chi-square test for independence.

(True/False)

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Question 25

A researcher reports the following results for a chi-square test: $\chi$ ²(1)= 5.386,p < .05 (V = 0.224).If this test were a test for independence,then how many groups were observed?

(Multiple Choice)

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Question 26

What is the key assumption for a chi-square goodness-of-fit test?

(Multiple Choice)

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Question 27

A chi-square goodness-of-fit test with 3 levels of a categorical variable will have 3 degrees of freedom.

(True/False)

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Question 28

The degrees of freedom for a chi-square goodness-of-fit test are

(Multiple Choice)

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Question 29

A researcher selects a sample of 80 people and records the frequency of participants choosing a low,moderate,or high calorie dessert in a buffet.What are the degrees of freedom for this chi-square goodness-of-fit test?

(Multiple Choice)

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Question 30

A researcher computes a 2 $\times$ 2 chi-square test for independence.What is the critical value for this test at a .05 level of significance?

(Multiple Choice)

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Question 31

The larger the value of the chi-square test statistic,the more likely the discrepancy between observed and expected frequencies was due to chance or error.

(True/False)

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Question 32

A researcher computes a 2 $\times$ 3 chi-square test for independence.In this example,the degrees of freedom are 2.

(True/False)

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Question 33

A chi-square goodness-of-fit test with five levels of a categorical variable will have four degrees of freedom.

(True/False)

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Question 34

A key assumption for a chi-square goodness-of-fit test is that observed frequencies are independently recorded in each cell.

(True/False)

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Question 35

A researcher reports the following results for a chi-square test: $\chi$ ²(1)= 5.386,p < .05 (V = 0.224).If this test were a goodness-of-fit test,then how many groups were observed?

(Multiple Choice)

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Question 36

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

(True/False)

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Question 37

It is most appropriate to report effect size for the chi-square goodness-of-fit test,but not for the chi-square test for independence.

(True/False)

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Question 38

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

(True/False)

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Question 39

A researcher computes a 4 $\times$ 4 chi-square test for independence and estimates the following effect size: V = 0.36.This effect size is

(Multiple Choice)

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Question 40

Showing 21 - 40 of 80

A researcher conducts two chi-square tests.The 2 $\times$ 2 chi-square was $\chi$ ² = 3.82.The 2 $\times$ 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 computes a 2 $\times$ 4 chi-square test for independence.What are the degrees of freedom for this test?

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

If = 4.79,then a chi-square goodness-of-fit test would be significant when k = 2,but not when k = 3.

The phi coefficient can be used to estimate the effect size of a 2 $\times$ 2 chi-square test for independence.

A researcher reports the following results for a chi-square test: $\chi$ ²(1)= 5.386,p < .05 (V = 0.224).If this test were a test for independence,then how many groups were observed?

What is the key assumption for a chi-square goodness-of-fit test?

A chi-square goodness-of-fit test with 3 levels of a categorical variable will have 3 degrees of freedom.

The degrees of freedom for a chi-square goodness-of-fit test are

A researcher selects a sample of 80 people and records the frequency of participants choosing a low,moderate,or high calorie dessert in a buffet.What are the degrees of freedom for this chi-square goodness-of-fit test?

A researcher computes a 2 $\times$ 2 chi-square test for independence.What is the critical value for this test at a .05 level of significance?

The larger the value of the chi-square test statistic,the more likely the discrepancy between observed and expected frequencies was due to chance or error.

A researcher computes a 2 $\times$ 3 chi-square test for independence.In this example,the degrees of freedom are 2.

A chi-square goodness-of-fit test with five levels of a categorical variable will have four degrees of freedom.

A key assumption for a chi-square goodness-of-fit test is that observed frequencies are independently recorded in each cell.

A researcher reports the following results for a chi-square test: $\chi$ ²(1)= 5.386,p < .05 (V = 0.224).If this test were a goodness-of-fit test,then how many groups were observed?

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

It is most appropriate to report effect size for the chi-square goodness-of-fit test,but not for the chi-square test for independence.

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

A researcher computes a 4 $\times$ 4 chi-square test for independence and estimates the following effect size: V = 0.36.This effect size is

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

A researcher conducts two chi-square tests.The 2 ×\times× 2 chi-square was χ\chiχ 2 = 3.82.The 2 ×\times× 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?

A researcher computes a 2 ×\times× 4 chi-square test for independence.What are the degrees of freedom for this test?

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

If = 4.79,then a chi-square goodness-of-fit test would be significant when k = 2,but not when k = 3.

The phi coefficient can be used to estimate the effect size of a 2 ×\times× 2 chi-square test for independence.

A researcher reports the following results for a chi-square test: χ\chiχ 2(1)= 5.386,p < .05 (V = 0.224).If this test were a test for independence,then how many groups were observed?

What is the key assumption for a chi-square goodness-of-fit test?

A chi-square goodness-of-fit test with 3 levels of a categorical variable will have 3 degrees of freedom.

The degrees of freedom for a chi-square goodness-of-fit test are

A researcher selects a sample of 80 people and records the frequency of participants choosing a low,moderate,or high calorie dessert in a buffet.What are the degrees of freedom for this chi-square goodness-of-fit test?

A researcher computes a 2 ×\times× 2 chi-square test for independence.What is the critical value for this test at a .05 level of significance?

The larger the value of the chi-square test statistic,the more likely the discrepancy between observed and expected frequencies was due to chance or error.

A researcher computes a 2 ×\times× 3 chi-square test for independence.In this example,the degrees of freedom are 2.

A chi-square goodness-of-fit test with five levels of a categorical variable will have four degrees of freedom.

A key assumption for a chi-square goodness-of-fit test is that observed frequencies are independently recorded in each cell.

A researcher reports the following results for a chi-square test: χ\chiχ 2(1)= 5.386,p < .05 (V = 0.224).If this test were a goodness-of-fit test,then how many groups were observed?

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

It is most appropriate to report effect size for the chi-square goodness-of-fit test,but not for the chi-square test for independence.

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

A researcher computes a 4 ×\times× 4 chi-square test for independence and estimates the following effect size: V = 0.36.This effect size is

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

A researcher conducts two chi-square tests.The 2 $\times$ 2 chi-square was $\chi$ ² = 3.82.The 2 $\times$ 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 computes a 2 $\times$ 4 chi-square test for independence.What are the degrees of freedom for this test?

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

The phi coefficient can be used to estimate the effect size of a 2 $\times$ 2 chi-square test for independence.

A researcher reports the following results for a chi-square test: $\chi$ ²(1)= 5.386,p < .05 (V = 0.224).If this test were a test for independence,then how many groups were observed?

A researcher computes a 2 $\times$ 2 chi-square test for independence.What is the critical value for this test at a .05 level of significance?

A researcher computes a 2 $\times$ 3 chi-square test for independence.In this example,the degrees of freedom are 2.

A researcher reports the following results for a chi-square test: $\chi$ ²(1)= 5.386,p < .05 (V = 0.224).If this test were a goodness-of-fit test,then how many groups were observed?

A researcher computes a 4 $\times$ 4 chi-square test for independence and estimates the following effect size: V = 0.36.This effect size is