a-market-analyst-is-testing-whether-product-preference-product-a-b-or-c-is-indep

Question

A market analyst is testing whether product preference (Product A, B, or C) is independent of customer age group (under $30$ , $30 en dash 50$ , over $50$ ). She surveys $90$ customers and constructs a $3 times 3$ contingency table.
At the $0.05$ significance level, what is the critical chi-square value? What is the rejection region?

At the $0.05$ significance level, what is the critical chi-square value? What is the rejection region?

Accepted Answer

$chi squared equals 9.488$ ; Reject if $chi squared is greater than 9.488$

Answer

$chi squared equals 9.488$ ; Reject if $chi squared is greater than 9.488$

Answer

$chi squared equals 9.488$ ; Reject if $chi squared is greater than 9.488$

Answer

$chi squared equals 9.488$ ; Reject if $chi squared is greater than 9.488$