Please help that’s what I came up with so far. 5. Suppose a simple random sample
ID: 3320468 • Letter: P
Question
Please help that’s what I came up with so far. 5. Suppose a simple random sample of size n 200 is obtained from a population who size is N 25,000 and whose population proportion with a specified characteristic is p- 0.65. a) Is the sampling distribution of p approximately normal? 723 Why065 0-0337 909 b) What is the probability of obtaining x -136 or more individuals from the 200 with the characteristic? That is, what is P ( 20.68), :z003x/200. 2 p 85 1-0-8193 0bl c) What is the probability of obtaining x -118 or fewer individuals from the 200 with the characteristic?
Explanation / Answer
Solution:
Question 5
Part a
We are given
n = 200
p = 0.65, q = 1 – p = 1 – 0.65 = 0.35
Sampling distribution of p-hat is approximately normal because
n*p = 200*0.65 = 130
n*q = 200*0.35 = 70
n*p > 10 and n*q > 10
So, we can use normal approximation.
Part b
We have to find P(X136)
P(X136) = 1 – P(X<136)
For normal distribution, we have
Mean = n*p = 200*0.65 = 130
SD = sqrt(n*p*q) = sqrt(200*0.65*0.35) = 6.745369
We have to find P(X<136)
So, by subtracting continuity correction 0.5, we have to find P(X<135.5)
Z = (X – mean) / SD
Z = (135.5 – 130) / 6.745369
Z = 0.741249
P(Z<0.741249) = P(X<135.5) = 0.770729
(By using normal z-table)
P(X136) = 1 – P(X<136) = 1 - 0.770729 = 0.229271
Required probability = 0.229271
Part c
Here, we have to find P(X118)
By adding continuity correction 0.5, we have to find P(X<118.5)
Z = (118.5 - 130) / 6.745369
Z = -1.70487
P(Z<-1.70487) = P(X118) = 0.044109
Required probability = 0.044109
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