1. When constructing confidence intervals and conducting hypothesis tests for the comparison of two population proportions pi and p2, we analyze the difference (pi - P2). In doing so, we turn to the sam- pling distribution of (i- P). a) The mean, n-A), of the sampling distribution of (âm – p) is equal to (i) pi - P2 (ii) Vi – r (iii) PIP2 (iv) PIP2 b) Per the usual notation, let q = 1 – Pi and q2 = 1- P2. Assume the sample sizes from the two populations are, respectively, n and n2 (and that the samples are independent). Then the standard deviation, a-) of the sampling distribution of (fi- P2) is equal to (i) V " (ii) p191-P292 (iii) gR (iv) minapiqiP292 c) Due to the Central Limit Theorem, for large sample sizes (npi 2 15, njân 2 15, na 2 15, and ngậ2 2 15), the sampling distribution of (i- Pa) is (approximately) (i) normal (ii) uniform (iii) exponential (iv) log-normal
1. When constructing confidence intervals and conducting hypothesis tests for the comparison of two population proportions pi and p2, we analyze the difference (pi - P2). In doing so, we turn to the sam- pling distribution of (i- P). a) The mean, n-A), of the sampling distribution of (âm – p) is equal to (i) pi - P2 (ii) Vi – r (iii) PIP2 (iv) PIP2 b) Per the usual notation, let q = 1 – Pi and q2 = 1- P2. Assume the sample sizes from the two populations are, respectively, n and n2 (and that the samples are independent). Then the standard deviation, a-) of the sampling distribution of (fi- P2) is equal to (i) V " (ii) p191-P292 (iii) gR (iv) minapiqiP292 c) Due to the Central Limit Theorem, for large sample sizes (npi 2 15, njân 2 15, na 2 15, and ngậ2 2 15), the sampling distribution of (i- Pa) is (approximately) (i) normal (ii) uniform (iii) exponential (iv) log-normal
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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