In: Statistics and Probability
The mean weight of an adult is 60 kilograms with a variance of 100
If 118 adults are randomly selected, what is the probability that the sample mean would be greater than 62.2 kilograms? Round your answer to four decimal places.
We calculate standard deviation
n = sample size = 118
Here n is greater than 30 so according to Central limit theorem
we use normal distribution
We are asked to find
We calculate Z score for 62.2
P (Z >2.389811708)
We round above z score to 2 decimal place
P (Z >2.39)
We use Z table table to find the
and we know total are is 1
We use Z table to find
We look for row headed 2.3 and column headed 0.09
P (Z >2.39 ) = 1- 0.9914 = 0.0084
P (Z > 2.39 ) = 0.0084
Final Answer:-
0.0084
I hope this will help you :)