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For each of the following scenarios: • Write down the rejection region, and • Compute the p-value for the statistic Using the p-value, conclude whether or not you reject Ho at level a = 0.05 1. where 0, o are unknown. and 2. where is unknown. iid X₁, X2,..., Xn N(μ, σ²) Ho: 0 10.0 vs. = Ha : 0 10.0 Ô = X s n 11.0 1.0 100 X₁, X2,..., Xn Ber(0)

For each of the following scenarios: • Write down the rejection region, and • Compute the p-value for the statistic Using the p-value, conclude whether or not you reject Ho at level a = 0.05 1. where 0, o are unknown. and 2. where is unknown. iid X₁, X2,..., Xn N(μ, σ²) Ho: 0 10.0 vs. = Ha : 0 10.0 Ô = X s n 11.0 1.0 100 X₁, X2,..., Xn Ber(0)

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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For each of the following scenarios: • Write down the rejection region, and • Compute the p-value for the statistic Using the p-value, conclude whether or not you reject Ho at level a = 0.05 1. where 0, o are unknown. and 2. where is unknown. and iid X₁, X2,..., Xn N(μ, σ²) Ho: 0 10.0 vs. = Ô = X s 11.0 Ha : 0 10.0 n 1.0 100 Ho: 00.25 vs. X₁, X2,..., Xn Ber(0) 160/ Ha : 0 > 0.25 ĝ= X n 0.3 49 For this one, use the CLT approximation for the sampling distribution of
Transcribed Image Text:For each of the following scenarios: • Write down the rejection region, and • Compute the p-value for the statistic Using the p-value, conclude whether or not you reject Ho at level a = 0.05 1. where 0, o are unknown. and 2. where is unknown. and iid X₁, X2,..., Xn N(μ, σ²) Ho: 0 10.0 vs. = Ô = X s 11.0 Ha : 0 10.0 n 1.0 100 Ho: 00.25 vs. X₁, X2,..., Xn Ber(0) 160/ Ha : 0 > 0.25 ĝ= X n 0.3 49 For this one, use the CLT approximation for the sampling distribution of
3. X1, X2,..., X N(μ, 0²) where μ, ² is unknown. Let 0 = ² (i.e., we're only interested in testing the variance parameter) Ho: 01.0 VS. Ha : 01.0 and 4. where is unknown. and Ô = s² 1.2 iid n 100 iid X1, X2,..., Xn Exp(0) Ô=X 2.2 Ho: 02.0 vs. Ha: 02.0 n 100
Transcribed Image Text:3. X1, X2,..., X N(μ, 0²) where μ, ² is unknown. Let 0 = ² (i.e., we're only interested in testing the variance parameter) Ho: 01.0 VS. Ha : 01.0 and 4. where is unknown. and Ô = s² 1.2 iid n 100 iid X1, X2,..., Xn Exp(0) Ô=X 2.2 Ho: 02.0 vs. Ha: 02.0 n 100
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