A researcher conducts two chi-square tests.The 2 $\times$ 2 chi-square was $\chi$2 = 3.92.The 2 $\times$ 3 chi-square was $\chi$2 = 5.92.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 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 16: Chi-Square Tests: Goodness-of-Fit and Independence

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?

(Multiple Choice)

4.9/5

(38)

Question 21

To summarize the chi-square goodness-of-fit test,which of the following is reported?

(Multiple Choice)

4.8/5

(37)

Question 22

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

(True/False)

4.9/5

(46)

Question 23

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

(True/False)

4.7/5

(31)

Question 24

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?

(Multiple Choice)

4.8/5

(37)

Question 25

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

(Multiple Choice)

4.9/5

(34)

Question 26

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

(Multiple Choice)

4.8/5

(31)

Question 27

Which of the following is an example of a parametric test?

(Multiple Choice)

4.9/5

(36)

Question 28

A researcher conducts two chi-square tests.The 2 $\times$ 2 chi-square was $\chi$ ² = 3.92.The 2 $\times$ 3 chi-square was $\chi$ ² = 5.92.Which chi-square test resulted in a decision to reject the null hypothesis at a .05 level of significance?

(Multiple Choice)

4.8/5

(43)

Question 29

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.

(Multiple Choice)

4.8/5

(38)

Question 30

When at least one categorical variable has more than two levels,Cramer's V is used to estimate effect size for a chi-square test for independence.

(True/False)

4.8/5

(33)

Question 31

The interpretation of a 2 $\times$ 2 chi-square test for independence is similar to what other type of statistical test?

(Multiple Choice)

4.7/5

(35)

Question 32

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

(Multiple Choice)

4.7/5

(32)

Question 33

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)

4.8/5

(33)

Question 34

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)

4.9/5

(36)

Question 35

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

(True/False)

4.9/5

(45)

Question 36

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

(Multiple Choice)

4.8/5

(46)

Question 37

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

(Multiple Choice)

4.9/5

(34)

Question 38

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)

4.9/5

(31)

Question 39

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

(True/False)

4.8/5

(38)

Question 40

Showing 21 - 40 of 80

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?

To summarize the chi-square goodness-of-fit test,which of the following is reported?

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

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

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

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

Which of the following is an example of a parametric test?

A researcher conducts two chi-square tests.The 2 $\times$ 2 chi-square was $\chi$ ² = 3.92.The 2 $\times$ 3 chi-square was $\chi$ ² = 5.92.Which chi-square test resulted in a decision to reject the null hypothesis at a .05 level of significance?

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.

When at least one categorical variable has more than two levels,Cramer's V is used to estimate effect size for a chi-square test for independence.

The interpretation of a 2 $\times$ 2 chi-square test for independence is similar to what other type of statistical test?

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

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

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

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.

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

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

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

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Understanding Regression Analysis

Understanding Correlation Coefficients in Statistical Analysis

Filters

Exam 16: Chi-Square Tests: Goodness-of-Fit and Independence

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?

To summarize the chi-square goodness-of-fit test,which of the following is reported?

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

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

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

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

Which of the following is an example of a parametric test?

A researcher conducts two chi-square tests.The 2 ×\times× 2 chi-square was χ\chiχ 2 = 3.92.The 2 ×\times× 3 chi-square was χ\chiχ 2 = 5.92.Which chi-square test resulted in a decision to reject the null hypothesis at a .05 level of significance?

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.

When at least one categorical variable has more than two levels,Cramer's V is used to estimate effect size for a chi-square test for independence.

The interpretation of a 2 ×\times× 2 chi-square test for independence is similar to what other type of statistical test?

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

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

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

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?

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.

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

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

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

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Understanding Regression Analysis

Understanding Correlation Coefficients in Statistical Analysis

Filters

A researcher conducts two chi-square tests.The 2 $\times$ 2 chi-square was $\chi$ ² = 3.92.The 2 $\times$ 3 chi-square was $\chi$ ² = 5.92.Which chi-square test resulted in a decision to reject the null hypothesis at a .05 level of significance?

The interpretation of a 2 $\times$ 2 chi-square test for independence is similar to what other type of statistical test?

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

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?