Question 1 and 2 Question 1:For each of the following, explain what is wrong and why.(a) A z statistic is used to test the null hypothesis that P1 = P2.(b) If two sample proportions are equal, then the sample counts are equal.(c) When testing Ho: P1 = P2, we must expect at least 10 successes and failures in our randomsamples.(d) Does a higher proportion of second year students study 10 hours weekly than first yearstudents? To find out, I randomly choose a statistics course and then look at the proportionof first year students in that class and of second year students in that class that study 10hours per week.Question 2:To estimate p1 – P2, a 95% confidence interval is computed as (-0.13, 0.32). Assuming all as-sumptions are met, what can be gleaned from this?(a) An error was made since proportions can't be negative.(b) It would appear that pi + p2 since the differences can be non-zero.(c) We can't statistically say that pi # P2 since our confidence interval includes 0.(d) We would conclude HA : Pi # P2 at the = 0.05 significance level.

Name: Question 1 and 2 Question 1:For each of the following, explain what is
Uploaded: 2024-03-20T07:07:37.000Z
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Description: Question 1 and 2 Question 1:For each of the following, explain what is wrong and why.(a) A z statistic is used to test the null hypothesis that P1 = P2.(b) If two sample proportions are equal, then the sample counts are equal.(c) When testing Ho: P1