6. Using the Neymann-Pearson lemma, develop the best test to test Ho: =10 versus Ha: H = 11 based on a random sample of size 30 when sampling from a norma distribution with known variance equal to 49. Let a= 0.05 Show all work. Find the actual critical value(s).
6. Using the Neymann-Pearson lemma, develop the best test to test Ho: =10 versus Ha: H = 11 based on a random sample of size 30 when sampling from a norma distribution with known variance equal to 49. Let a= 0.05 Show all work. Find the actual critical value(s).
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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![6. Using the Neyman-Pearson lemma, develop the best test to test:
\[ H_0: \mu = 10 \quad \text{versus} \quad H_a: \mu = 11 \]
This is based on a random sample of size 30 when sampling from a normal distribution with known variance equal to 49. Let \(\alpha = 0.05\).
Show all work. Find the actual critical value(s).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1f133c63-1716-41d7-8ec5-0f87428512d1%2Ff532e551-2795-4834-9503-2ed405889dce%2Fx0tbef_processed.jpeg&w=3840&q=75)
Transcribed Image Text:6. Using the Neyman-Pearson lemma, develop the best test to test:
\[ H_0: \mu = 10 \quad \text{versus} \quad H_a: \mu = 11 \]
This is based on a random sample of size 30 when sampling from a normal distribution with known variance equal to 49. Let \(\alpha = 0.05\).
Show all work. Find the actual critical value(s).
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