Question: When X 1 , X 2 , ¦, X n are independent Poisson random variables, each with parameter λ, and n is large, the sample
When X1, X2, ¦, Xnare independent Poisson random variables, each with parameter λ, and n is large, the sample mean X has an approximate normal distribution with mean λ and variance λ/n. Therefore,
![]()
has approximately a standard normal distribution. Thus, we can test H0: λ = λ0 by replacing λ in Z by λ0. When Xi are Poisson variables, this test is preferable to the large-sample test of Section 9-2.3, which would use S / n in the denominator because it is designed just for the Poisson distribution. Suppose that the number of open circuits on a semiconductor wafer has a Poisson distribution. Test data for 500 wafers indicate a total of 1038 opens. Using α = 0.05, does this suggest that the mean number of open circuits per wafer exceeds 2.0?
X-1 Va /n
Step by Step Solution
3.48 Rating (158 Votes )
There are 3 Steps involved in it
1 The parameter of interest is the true mean number of open circuits 2 H 0 2 3 ... View full answer
Get step-by-step solutions from verified subject matter experts
