Question 2: To estimate pi – 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 pi + 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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Question 1 and question 2

For each of the following, explain what is wrong and why.
(a) Az 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 p1 + 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 : Pı # P2 at the a = 0.05 significance level.
Transcribed Image Text:For each of the following, explain what is wrong and why. (a) Az 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 p1 + 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 : Pı # P2 at the a = 0.05 significance level.
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