25 men from Pinellas County were randomly drawn from a population of 100,000 men and weighed. The average weight of a man from the sample was found to be 150 pounds with a standard deviation of 54 pounds, Assuming the survey follows a normal distribution, find the 95% confidence interval for the true mean weight of men.
Group of answer choices
A) (127.25, 172.75)
B) (128.832, 171.168)
C) (127.757, 172.243)
D) (127.71, 172.29)
Solution:
Given in the question
Sample mean = 150 pounds
Sample standard deviation = 54 pounds
No. of sample = 25 men
Here also given that survey follows a normal distribution so 95%
confidence interval for the true mean weight of men can be
calculated as
Mean +/- (Zalpha/2)*S/sqrt(n)
from Z test
alpha = 0.05, alpha/2 = 0.05/2 = 0.025
From Z table we found Zalpha/2 = 1.96
So 95% confidence interval is
150 +/- 1.96*54/sqrt(25)
150 +/- 21.168
So 95% confidence interval is 128.832 to 171.168
So its answer is B i.e. (128.832, 171.168)
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