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Chapter 11: Square Tests MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) When testing for independence in a contingency table with 3 rows
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How to fill out chi-square test of independence

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How to fill out chi-square test of independence

01
Define the null hypothesis and alternative hypothesis.
02
Set up a contingency table with the observed frequencies of the data.
03
Calculate the expected frequencies for each cell in the contingency table based on the null hypothesis.
04
Calculate the chi-square test statistic by summing the ((observed frequency - expected frequency)^2) / expected frequency for each cell.
05
Determine the degrees of freedom for the chi-square test.
06
Look up the critical value of chi-square in a chi-square table or use a chi-square calculator to find the p-value.
07
Compare the calculated chi-square value to the critical value or p-value to determine if the null hypothesis can be rejected.

Who needs chi-square test of independence?

01
Researchers in fields such as statistics, social sciences, biology, and economics who are studying the relationship between categorical variables may need to use the chi-square test of independence to determine if there is a statistically significant association between the variables.
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The chi-square test of independence is a statistical test used to determine if there is a significant association between two categorical variables.
Researchers, statisticians, and analysts who are conducting studies or experiments involving categorical data are required to use the chi-square test of independence.
To fill out a chi-square test of independence, you need to first organize your data into a contingency table and then perform the necessary calculations to determine the expected and observed frequencies for each cell.
The purpose of the chi-square test of independence is to determine if two categorical variables are independent of each other or if there is a significant association between them.
The chi-square test of independence report should include the contingency table, calculated chi-square statistic, degrees of freedom, p-value, and conclusion regarding the association between the variables.
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