describe the sampling distribution of pSolutionthe sampling
describe the sampling distribution of p^
Solution
the sampling distribution of P hat is approximately normal [with mean p and standard deviation sqrt of p(1-p)/n] PROVIDED that np and n(1-p) are greater than 5
We express this sampling distribution explained above as:
z = P(hat)-p/(sqrt of [p(1-p)/n])
In this case np = 200 (500*0.4)
 and
 n(1-p) = 300 (500*(1-0.4))
So np and n(1-p) are both > 5; therefore the sampling distribution of P(hat) can be described as approximately normal and expressed as:
P(hat)-p/(sqrt of [p(1-p)/n])
No need to use a calculator to do this; just remember the np and n(1-p) must be greater than 1 and the test statistic for p and you can answer it my testing those
![describe the sampling distribution of p^Solutionthe sampling distribution of P hat is approximately normal [with mean p and standard deviation sqrt of p(1-p)/n] describe the sampling distribution of p^Solutionthe sampling distribution of P hat is approximately normal [with mean p and standard deviation sqrt of p(1-p)/n]](/WebImages/12/describe-the-sampling-distribution-of-psolutionthe-sampling-1010903-1761521836-0.webp)
