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Chi-Square Analysis of Categorical Variables: Exploring Relationships Using Minitab and Excel Class Survey Data

Explores chi-square tests in statistical analysis using Minitab and Excel.

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    Chi - Square Analysis of Categorical Variables: Exploring Relationships Using Minitab and Excel Class Survey Data 1. What is the primary purpose of doing a chi - square test? To determine if there is a significant relationship between A) two quantitative variables B) two categorical variables C) two continuous variables D) a qualitative variable and quantitative variable Feedback: A chi - square test is used to analyze categorical (or qualitative) variables with the primary purpose to discover if a relationship exists between the variables. Points Earned: 1.0/1.0 2. Which of the following is the BEST statement of the alternative hypothesis for conducting a Chi - Square analysis? A) The variables are NOT statistically related in the population B) The variables ARE statistically related in the population C) The variables are NOT statistically related in the sample D) The variables ARE statistically related in the sample Feedback: The null hypothesis is statement that says no relationship exists between the variables in the population. Remember that when conducting a statistical test we use a sample to make an inference to a population. Points Earned: 1.0/1.0 3. From our Minitab Class Survey or Excel Class Survey data then using Gender (Column 2) and if you would date someone of a different race (Column 25), what conclusion would you make regarding the relationship between the variables Gender and Date Different Race? A) No statistical significant relationship exists in the sample because the p - value is greater than 0.05 B) No statistical significant relationship exists in the population because the p - values is greater than 0.05 C) A statistical significant relationship exists in the sample because the p - value is greater than 0.05 D) A statistical significant relationship exists in the population because the p - value is greater than 0.05

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