Chi-Square Test

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Carolina University *

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809

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Industrial Engineering

Date

Dec 6, 2023

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docx

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2

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Chi-Square Test Question 1: What is the Chi-Square test, and when is it commonly used in statistics? Solution: The Chi-Square test is used to determine if there is a significant association between categorical variables. It is commonly used when dealing with counts or frequencies. Question 2: In a study of 200 individuals, 120 preferred Product A, 50 preferred Product B, and 30 had no preference. Conduct a Chi-Square test to determine if there is a significant difference in preferences. Solution: Set up observed and expected frequency tables, calculate the Chi-Square statistic, and compare it to the critical value. Question 3: Define the terms "null hypothesis" and "alternative hypothesis" in the context of the Chi-Square test. Solution: The null hypothesis ( H 0 H 0 ) assumes no association, while the alternative hypothesis ( H a H a ) suggests a significant association between variables. Question 4: Explain the concept of degrees of freedom in the Chi-Square test. Solution:
Degrees of freedom in a Chi-Square test depend on the number of categories being compared. It is calculated as (number of rows - 1) * (number of columns - 1). Question 5: When should a researcher choose the Chi-Square test over other statistical tests? Solution: The Chi-Square test is suitable when dealing with categorical variables and frequencies, making it appropriate for analyzing survey data or comparing proportions.
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