In: Math
The heights of a female population follow a normal distribution with a mean of 48 inches and a standard deviation of 6 inches. If a random sample of 16 subjects were taken, what is the probability that the average height of the sample is higher than 50 inches?
If X follows a Normal distribution with mean
and standard deviation
, then sampling distribution of sample mean:
follows a normal distribution with mean
and standard deviation
Given,
X: heights of a female population
X follow a normal distribution with a mean of 48 inches and a standard deviation of 6 inches
Therefore average height of the sample of 16(n=16)
subjects (
) follows a normal distribution with mean 48 inches and standard
deviation (
= 6/4 = 1.5) of 1.5
Probability that the average height of the sample is higher than
50 inches = P(
> 50)
P(
> 50) = 1 - P(
50)
Z-score for 50 = (50-mean)/Standard deviation = (50-48)/1.5 = 2/1.5 = 1.33
From Standard normal tables, P(Z 1.33) =
0.9082
P( 50)
= P(Z
1.33) =
0.9082
P(
> 50) = 1 - P(
50)
= 1-0.9082 = 0.0918
Probability that the average height of the sample is higher than
50 inches = P(
> 50) = 0.0918
Probability that the average height of the sample is higher than 50 inches = 0.0918