3. Consider two independent normal distributions N(#1, 400) and N(μ2, 225). Let = μ₁ μ2. Let and denote the observed means of two independent random samples, each of size n, from these two distributions. To test we use the critical region Ho: 0=0, H₁:00, C = {x-> c}. (a) Express the power function K(0) in terms of the standard normal distribution cdf . It depends on n and c. (b) Find n and c so that the probability of type I error is 0.05, and the power at 0 = 10 is 0.9, approximately. Assume that 20.10 = 1.28.

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.CR: Chapter 13 Review
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3. Consider two independent normal distributions N(#1, 400) and N(μ2, 225). Let = μ₁ μ2. Let
and denote the observed means of two independent random samples, each of size n, from these two
distributions. To test
we use the critical region
Ho: 0=0, H₁:00,
C = {x-> c}.
(a) Express the power function K(0) in terms of the standard normal distribution cdf . It depends
on n and c.
(b) Find n and c so that the probability of type I error is 0.05, and the power at 0 = 10 is 0.9,
approximately. Assume that 20.10 = 1.28.
Transcribed Image Text:3. Consider two independent normal distributions N(#1, 400) and N(μ2, 225). Let = μ₁ μ2. Let and denote the observed means of two independent random samples, each of size n, from these two distributions. To test we use the critical region Ho: 0=0, H₁:00, C = {x-> c}. (a) Express the power function K(0) in terms of the standard normal distribution cdf . It depends on n and c. (b) Find n and c so that the probability of type I error is 0.05, and the power at 0 = 10 is 0.9, approximately. Assume that 20.10 = 1.28.
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