Determine the situation in which the chi-square test for goodness of fit can be used.

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Answer 1

Question

Chapter 13, Problem 1.1HD

To determine

Determine the situation in which the chi-square test for goodness of fit can be used.

Expert Solution & Answer

Explanation of Solution

Chi-square goodness of fit:

Chi-square goodness of fit is a nonparametric test used to test the distribution of frequencies across the group of data and is applied to know how well the sample data obtained fits the distribution of the selected population.

Justification: The concept of chi-square test for goodness of fit can be well explained where the chi-square test involves only one nominal variable with the different categories, that is, how likely the observed frequencies of a nominal variable with the different categories fits the expected frequencies.

Thus, the situation in which the chi-square test for goodness of fit can be used to test a distribution of people of different categories with the expected distribution of people of different categories.

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Answer 2

Question

Chapter 13, Problem 1.1HD

To determine

Determine the situation in which the chi-square test for goodness of fit can be used.

Expert Solution & Answer

Explanation of Solution

Chi-square goodness of fit:

Chi-square goodness of fit is a nonparametric test used to test the distribution of frequencies across the group of data and is applied to know how well the sample data obtained fits the distribution of the selected population.

Justification: The concept of chi-square test for goodness of fit can be well explained where the chi-square test involves only one nominal variable with the different categories, that is, how likely the observed frequencies of a nominal variable with the different categories fits the expected frequencies.

Thus, the situation in which the chi-square test for goodness of fit can be used to test a distribution of people of different categories with the expected distribution of people of different categories.

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Answer 3

Question

Chapter 13, Problem 1.1HD

To determine

Determine the situation in which the chi-square test for goodness of fit can be used.

Expert Solution & Answer

Explanation of Solution

Chi-square goodness of fit:

Chi-square goodness of fit is a nonparametric test used to test the distribution of frequencies across the group of data and is applied to know how well the sample data obtained fits the distribution of the selected population.

Justification: The concept of chi-square test for goodness of fit can be well explained where the chi-square test involves only one nominal variable with the different categories, that is, how likely the observed frequencies of a nominal variable with the different categories fits the expected frequencies.

Thus, the situation in which the chi-square test for goodness of fit can be used to test a distribution of people of different categories with the expected distribution of people of different categories.

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Answer 4

Question

Chapter 13, Problem 1.1HD

To determine

Determine the situation in which the chi-square test for goodness of fit can be used.

Expert Solution & Answer

Explanation of Solution

Chi-square goodness of fit:

Chi-square goodness of fit is a nonparametric test used to test the distribution of frequencies across the group of data and is applied to know how well the sample data obtained fits the distribution of the selected population.

Justification: The concept of chi-square test for goodness of fit can be well explained where the chi-square test involves only one nominal variable with the different categories, that is, how likely the observed frequencies of a nominal variable with the different categories fits the expected frequencies.

Thus, the situation in which the chi-square test for goodness of fit can be used to test a distribution of people of different categories with the expected distribution of people of different categories.

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Answer 5

Chapter 13, Problem 1.1HD

To determine

Determine the situation in which the chi-square test for goodness of fit can be used.

Expert Solution & Answer

Explanation of Solution

Chi-square goodness of fit:

Chi-square goodness of fit is a nonparametric test used to test the distribution of frequencies across the group of data and is applied to know how well the sample data obtained fits the distribution of the selected population.

Justification: The concept of chi-square test for goodness of fit can be well explained where the chi-square test involves only one nominal variable with the different categories, that is, how likely the observed frequencies of a nominal variable with the different categories fits the expected frequencies.

Thus, the situation in which the chi-square test for goodness of fit can be used to test a distribution of people of different categories with the expected distribution of people of different categories.

Answer 6

Chapter 13, Problem 1.1HD

To determine

Determine the situation in which the chi-square test for goodness of fit can be used.

Expert Solution & Answer

Explanation of Solution

Chi-square goodness of fit:

Chi-square goodness of fit is a nonparametric test used to test the distribution of frequencies across the group of data and is applied to know how well the sample data obtained fits the distribution of the selected population.

Justification: The concept of chi-square test for goodness of fit can be well explained where the chi-square test involves only one nominal variable with the different categories, that is, how likely the observed frequencies of a nominal variable with the different categories fits the expected frequencies.

Thus, the situation in which the chi-square test for goodness of fit can be used to test a distribution of people of different categories with the expected distribution of people of different categories.

Answer 7

Chapter 13, Problem 1.1HD

To determine

Determine the situation in which the chi-square test for goodness of fit can be used.

Answer 8

Expert Solution & Answer

Explanation of Solution

Chi-square goodness of fit:

Chi-square goodness of fit is a nonparametric test used to test the distribution of frequencies across the group of data and is applied to know how well the sample data obtained fits the distribution of the selected population.

Justification: The concept of chi-square test for goodness of fit can be well explained where the chi-square test involves only one nominal variable with the different categories, that is, how likely the observed frequencies of a nominal variable with the different categories fits the expected frequencies.

Thus, the situation in which the chi-square test for goodness of fit can be used to test a distribution of people of different categories with the expected distribution of people of different categories.