Testing Hypotheses with Bernoulli Distribution

[LBJking123]

This is the question:
Suppose that X1...Xn form a random sample from the Bernoulli Distribution with unknown parameter P. Let Po and P1 be specified values such that 0<P1<Po<1, and suppose that is desired to test the following simple hypotheses: Ho: P=Po, H1: P=P1.
A. Show that a test procedure for which α(δ) + β(δ) is a minimum rejects Ho when Xbar < c.
B. Find the value of c.

I know that this problem is not that difficult I just can't figure out where to start. I know the Bernoulli distribution, but I can't figure out how to get α(δ) and β(δ). I have not seen any problems like this so I am kinda lost, any help would be much appreciated. Thanks!

 

[Stephen Tashi]

You didn't say what \delta<br /> is.

 

[ssd]

ƩX ~ Binomial (n,p₀) under null hyp (H). You know the probabilities of X=0,1, ...,n under H. Find the value of X (= c, say) such that P[X≤c-1] < α ≤ P[X≤c]. Now compare your observed value of X with c.
If you want a test of exact size α, then a randomized test is to be done.
For large n you can use normal approximation due to De Moivre Laplace limit theorem.