Please help with simple statistics problem

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SUMMARY

The discussion focuses on a statistical problem involving two normal distributions, N(mu1, 400) and N(mu2, 225), where the goal is to determine the sample size (n) and critical value (C) for a hypothesis test. The user derived the equations for the test statistic and critical value, concluding that n should be rounded up to 68 to ensure sufficient power at the significance level of alpha = 0.05. The calculations confirm that the test statistic follows a Normal distribution under the alternative hypothesis, leading to the conclusion that increasing sample size enhances the test's power.

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Homework Statement


Consider the distributions N(mu1, 400) and N(mu2, 225). Let theta = mu1-mu2 and x and y be the observed means of two independent random samples, each of size n, from these two disbtibutions. We reject H(0) : theta = 0 and accept H(a): theta >0 if and only if x-y >=C. If pi(theta) is the power function of this test, find n and C so that pi(theta=10) = 0.95 at significance level alpha = 0.05.

Thank for anyone's help.


The Attempt at a Solution


[tex] <br /> {X-Y-10\over\sqrt{{400\over n}+{225\over n}}}=-1.645[/tex]

and:

[tex]C = X-Y=1.645\sqrt{{400\over n}+{225\over n}}[/tex]


So if I subtract the first equation from the 2nd, I get:

[tex]10=3.29\sqrt{{400\over n}+{225\over n}}[/tex]

and n = 67.65, but since it should be a whole number, we round up to 68?

Is any of this right, or what's the correct answer?
 
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no one can help?
 
So the first equation is from the true distribution of x - y under H(a) which is Normal(10, 625/n) due to independence.

The second equation comes form the upper tail test of x - y, which only rejects when the test statistic is greater than (in this case) 1.645.

Seems to me you've done this correctly; you want to round up to 68 because increasing sample size will only increase power.
 

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