Race for rows and accepted for columns check count

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Race for Rows and Accepted for Columns . Check count , row percents and column percents. tabulate the variables Race and Accepted and paste the table here. a. Use your output to answer: What percent of white names were accepted? b. Use your output to answer: What percent of black names were accepted? c. Do you believe that Race and Accepted are independent variables? 5. Perform a hypothesis test to see if based on this data, we can conclude whether Race and Acceptance are dependent. Let’s go through the steps of the hypothesis test: Test of Independence. We will use 1% significance level. a. State the appropriate Null and Alternative hypotheses. Ho: Ha: b. Run the hypothesis test by using commands: Stat>Tables>Cross Tabulation and Chi Square… Use Race for Rows and Accepted for Columns . Display only the Counts this time. Under options for Chi-Square… , check ‘Chi-square test’ and check you want ‘Expected cell counts’ and ‘Each cell’s contribution to chi-square’ displayed. Paste results below. c. What was the Chi-square test statistic? What was the p-value? d. Do you reject or fail to reject Ho? e. State your conclusion in the context of the problem. f. What recommendations would you make to Airbnb based on this study? Cross

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