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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 random samples. (d) Does a higher proportion of second year students study 10 hours weekly than first year students? To find out, I randomly choose a statistics course and then look at the proportion of first year students in that class and of second year students in that class that study 10 hours per week. Question 2: To estimate p – 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 p1 # p2 since the differences can be non-zero. (c) We can't statistically say that p1 # p2 since our confidence interval includes 0. (d) We would conclude HA : P1 # P2 at the a = 0.05 significance level.

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 random samples. (d) Does a higher proportion of second year students study 10 hours weekly than first year students? To find out, I randomly choose a statistics course and then look at the proportion of first year students in that class and of second year students in that class that study 10 hours per week. Question 2: To estimate p – 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 p1 # p2 since the differences can be non-zero. (c) We can't statistically say that p1 # p2 since our confidence interval includes 0. (d) We would conclude HA : P1 # P2 at the a = 0.05 significance level.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 random samples. (d) Does a higher proportion of second year students study 10 hours weekly than first year students? To find out, I randomly choose a statistics course and then look at the proportion of first year students in that class and of second year students in that class that study 10 hours 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.
Transcribed Image Text: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 random samples. (d) Does a higher proportion of second year students study 10 hours weekly than first year students? To find out, I randomly choose a statistics course and then look at the proportion of first year students in that class and of second year students in that class that study 10 hours 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.
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