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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.

Amelia Davis
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Chi-Square Analysis of Categorical Variables: ExploringRelationships Using Minitab and Excel Class Survey Data1.What is the primary purpose of doing a chi-square test? To determine if there is a significant relationshipbetweenA)twoquantitative variablesB)two categorical variablesC)two continuous variablesD)a qualitative variable and quantitative variableFeedback:A chi-square test is used to analyze categorical (or qualitative) variables with the primarypurpose to discover if a relationship exists between the variables.Points Earned:1.0/1.02.Which of the following is the BEST statement of thealternativehypothesis for conducting a Chi-Squareanalysis?A)The variables are NOTstatistically related in the populationB)The variables ARE statistically related in the populationC)The variables are NOT statistically related in the sampleD)The variables ARE statistically related in the sampleFeedback:The null hypothesis is statement that says no relationship exists between the variables in thepopulation. Remember that when conducting a statistical test we use a sample to make an inference to apopulation.Points Earned:1.0/1.03.From ourMinitab ClassSurveyorExcel Class Surveydata then using Gender (Column 2) and if youwould date someone of a different race (Column 25), what conclusion would you make regarding therelationship between the variables Gender and Date Different Race?A)Nostatistical significant relationship existsin the samplebecause the p-value is greater than0.05B)No statistical significant relationship existsin the populationbecause the p-values is greater than0.05C)A statistical significant relationship existsin the samplebecause the p-value is greater than 0.05D)A statistical significant relationship existsin the populationbecause the p-value is greater than0.05

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