Question 5 You make a contingency table that compares if a person made a purchase and if they were exposed to the ad in network 2. You get the following output: no 2986 2192 yes 1128 30)9 The rows are...

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Extracted text: Question 5 You make a contingency table that compares if a person made a purchase and if they were exposed to the ad in network 2. You get the following output: no 2986 2192 yes 1128 30)9 The rows are if purchase was made and the columns were exposed to ad on network 2. What is the expected value of people who did not make a purchase and were exposed to ad on network 2? Round your answer to the nearest 3 decimal places. What is the standardized residual for people who did not make a purchase and were exposed to ad on network 2? Round your answer to the nearest 3 decimal places. Question 6 You do a chi-square test that compares gender with the exposure to the ad on network 1. The output tells you: X-squared e.22387 What is the etfect size? Round your answer 3 decimal places. Is the effect size very small, small, moderate, or large? CS Scanned with CamScanner