3) [StatCrunch] In the Student Survey, construct a Contingency table using Gender ('Gender') and Life after...

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3) [StatCrunch] In the Student Survey, construct a Contingency table using Gender ('Gender') and Life after Death ('Life'). What are the Row percentages and should we decide if an Association seems possible between the two Variables? What Expected Counts should we have if the Variables are Independent? Contingency table results: Rows: Gender Columns: Life nuy Total f 5 8 18 31 m 8 8 13 29 Total 13 16 31 60 Chi-Square test: Statistic DF Value P-value Chi-square 2 1.4336856 0.4883 3) [StatCrunch] In the Student Survey, construct a Contingency table using Gender ('Gender') and Life after Death ('Life'). What are the Row percentages and should we decide if an Association seems possible between the two Variables? What Expected Counts should we have if the Variables are Independent? Contingency table results: Rows: Gender Columns: Life nuy Total f 5 8 18 31 m 8 8 13 29 Total 13 16 31 60 Chi-Square test: Statistic DF Value P-value Chi-square 2 1.4336856 0.4883