Exam 17: The Chi-Square Statistic: Tests for Goodness of Fit and Independence

A chi-square test for independence has df = 2.What is the total number of categories (cells in the matrix)that were used to classify individuals in the sample?

(Multiple Choice)

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Question 41

What conclusion is appropriate if a chi-square test produces a chi-square statistic near zero?

(Multiple Choice)

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Question 42

Cramér's V is used to measure effect size for the chi-square test for independence and is superior to Cohen's w because it makes allowances for the size of the data matrix.

(True/False)

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Question 43

Although the outcome for a chi-square test for independence is influenced by sample size,measures of effect size such as the phi-coefficient or Cramér's V are not.

(True/False)

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Question 44

In a chi-square test for independence or goodness of fit,____.

(Multiple Choice)

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Question 45

The chi-square test for independence uses the same formula for the chi-square statistic as the chi-square test for goodness-of-fit.

(True/False)

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Question 46

A chi-square test for independence is being used to evaluate the relationship between two variables,one of which is classified into three categories and the second of which is classified into four categories.The chi-square statistic for this test would have a df value equal to ____.

(Multiple Choice)

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Question 47

A researcher selects a sample of 100 people to investigate the relationship between gender (male/female)and registering to vote.The sample consists of 40 females,of whom 30 are registered voters,and 60 males,of whom 40 are registered voters.If these data are used for a chi-square test for independence,what is the expected frequency for registered females?

(Multiple Choice)

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Question 48

Which of the following accurately describes the chi-square test for independence?

(Multiple Choice)

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Question 49

For a given alpha level,what happens to the critical value for a chi-square test if the number of categories is increased?

(Multiple Choice)

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Question 50

Cohen's w is a measure of effect size that can be used for both the chi-square test for independence and for goodness of fit.

(True/False)

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Question 51

What values are specified by the null hypothesis for the chi-square test for goodness of fit?

(Multiple Choice)

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Question 52

Under what conditions is Cramér's V used to measure effect size for a chi-square test for independence?

(Multiple Choice)

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Question 53

How does the difference between f_e and f_o influence the outcome of a chi-square test?

(Multiple Choice)

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Question 54

What is indicated by a large value for the chi-square statistic?

(Multiple Choice)

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Question 55

One characteristic of the chi-square tests is that they can be used when the data are measured on a nominal scale.

(True/False)

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Question 56

A chi-square test for goodness of fit is used to examine the distribution of individuals across three categories,and a chi-square test for independence is used to examine the distribution of individuals in a 2 X 2 matrix of categories.Which test has the larger value for df?

(Multiple Choice)

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Question 57

For a chi-square test,the expected frequencies are calculated values that are intended to produce a sample that is representative of the null hypothesis.

(True/False)

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Question 58

Under what circumstances will the chi-square test for goodness of fit produce a large value for a chi-square?

(Multiple Choice)

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Question 59

For the chi-square test for goodness-of-fit,the researcher must select a sample with an equal number of individuals in each category.

(True/False)

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Question 60

Showing 41 - 60 of 75

A chi-square test for independence has df = 2.What is the total number of categories (cells in the matrix)that were used to classify individuals in the sample?

What conclusion is appropriate if a chi-square test produces a chi-square statistic near zero?

Cramér's V is used to measure effect size for the chi-square test for independence and is superior to Cohen's w because it makes allowances for the size of the data matrix.

Although the outcome for a chi-square test for independence is influenced by sample size,measures of effect size such as the phi-coefficient or Cramér's V are not.

In a chi-square test for independence or goodness of fit,____.

The chi-square test for independence uses the same formula for the chi-square statistic as the chi-square test for goodness-of-fit.

A chi-square test for independence is being used to evaluate the relationship between two variables,one of which is classified into three categories and the second of which is classified into four categories.The chi-square statistic for this test would have a df value equal to ____.

Which of the following accurately describes the chi-square test for independence?

For a given alpha level,what happens to the critical value for a chi-square test if the number of categories is increased?

Cohen's w is a measure of effect size that can be used for both the chi-square test for independence and for goodness of fit.

What values are specified by the null hypothesis for the chi-square test for goodness of fit?

Under what conditions is Cramér's V used to measure effect size for a chi-square test for independence?

How does the difference between f_e and f_o influence the outcome of a chi-square test?

What is indicated by a large value for the chi-square statistic?

One characteristic of the chi-square tests is that they can be used when the data are measured on a nominal scale.

A chi-square test for goodness of fit is used to examine the distribution of individuals across three categories,and a chi-square test for independence is used to examine the distribution of individuals in a 2 X 2 matrix of categories.Which test has the larger value for df?

For a chi-square test,the expected frequencies are calculated values that are intended to produce a sample that is representative of the null hypothesis.

Under what circumstances will the chi-square test for goodness of fit produce a large value for a chi-square?

For the chi-square test for goodness-of-fit,the researcher must select a sample with an equal number of individuals in each category.

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores: Location of Scores and Standardized Distributions

Probability

Probability and Samples: the Distribution of Sample Means

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

The T Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures Analysis of Variance Anova

Two-Factor Analysis of Variance Independent Measures

Correlation

Introduction to Regression

The Binomial Test

Filters

Exam 17: The Chi-Square Statistic: Tests for Goodness of Fit and Independence

A chi-square test for independence has df = 2.What is the total number of categories (cells in the matrix)that were used to classify individuals in the sample?​

What conclusion is appropriate if a chi-square test produces a chi-square statistic near zero?​

Cramér's V is used to measure effect size for the chi-square test for independence and is superior to Cohen's w because it makes allowances for the size of the data matrix.​

Although the outcome for a chi-square test for independence is influenced by sample size,measures of effect size such as the phi-coefficient or Cramér's V are not.​

In a chi-square test for independence or goodness of fit,____.​

The chi-square test for independence uses the same formula for the chi-square statistic as the chi-square test for goodness-of-fit.​

A chi-square test for independence is being used to evaluate the relationship between two variables,one of which is classified into three categories and the second of which is classified into four categories.The chi-square statistic for this test would have a df value equal to ____.​

Which of the following accurately describes the chi-square test for independence?​

For a given alpha level,what happens to the critical value for a chi-square test if the number of categories is increased?​

Cohen's w is a measure of effect size that can be used for both the chi-square test for independence and for goodness of fit.

What values are specified by the null hypothesis for the chi-square test for goodness of fit?​

Under what conditions is Cramér's V used to measure effect size for a chi-square test for independence?​

How does the difference between fe and fo influence the outcome of a chi-square test?​

What is indicated by a large value for the chi-square statistic?​

​One characteristic of the chi-square tests is that they can be used when the data are measured on a nominal scale.

A chi-square test for goodness of fit is used to examine the distribution of individuals across three categories,and a chi-square test for independence is used to examine the distribution of individuals in a 2 X 2 matrix of categories.Which test has the larger value for df?​

For a chi-square test,the expected frequencies are calculated values that are intended to produce a sample that is representative of the null hypothesis.​

Under what circumstances will the chi-square test for goodness of fit produce a large value for a chi-square?​

For the chi-square test for goodness-of-fit,the researcher must select a sample with an equal number of individuals in each category.​

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores: Location of Scores and Standardized Distributions

Probability

Probability and Samples: the Distribution of Sample Means

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

The T Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures Analysis of Variance Anova

Two-Factor Analysis of Variance Independent Measures

Correlation

Introduction to Regression

The Binomial Test

Filters

A chi-square test for independence has df = 2.What is the total number of categories (cells in the matrix)that were used to classify individuals in the sample?

What conclusion is appropriate if a chi-square test produces a chi-square statistic near zero?

Cramér's V is used to measure effect size for the chi-square test for independence and is superior to Cohen's w because it makes allowances for the size of the data matrix.

Although the outcome for a chi-square test for independence is influenced by sample size,measures of effect size such as the phi-coefficient or Cramér's V are not.

In a chi-square test for independence or goodness of fit,____.

The chi-square test for independence uses the same formula for the chi-square statistic as the chi-square test for goodness-of-fit.

A chi-square test for independence is being used to evaluate the relationship between two variables,one of which is classified into three categories and the second of which is classified into four categories.The chi-square statistic for this test would have a df value equal to ____.

Which of the following accurately describes the chi-square test for independence?

For a given alpha level,what happens to the critical value for a chi-square test if the number of categories is increased?

What values are specified by the null hypothesis for the chi-square test for goodness of fit?

Under what conditions is Cramér's V used to measure effect size for a chi-square test for independence?

How does the difference between f_e and f_o influence the outcome of a chi-square test?

What is indicated by a large value for the chi-square statistic?

One characteristic of the chi-square tests is that they can be used when the data are measured on a nominal scale.

A chi-square test for goodness of fit is used to examine the distribution of individuals across three categories,and a chi-square test for independence is used to examine the distribution of individuals in a 2 X 2 matrix of categories.Which test has the larger value for df?

For a chi-square test,the expected frequencies are calculated values that are intended to produce a sample that is representative of the null hypothesis.

Under what circumstances will the chi-square test for goodness of fit produce a large value for a chi-square?

For the chi-square test for goodness-of-fit,the researcher must select a sample with an equal number of individuals in each category.