In: Statistics and Probability
A normal population has a mean of 61 and a standard deviation of 10. You select a random sample of 9. Compute the probability that the sample mean is: (Round your z values to 2 decimal places and final answers to 4 decimal places):
Greater than 64.
Less than 58.
Between 58 and 64.
Solution :
Given ,
mean =
= 61
standard deviation =
= 10
n = 9
sampling distribution of the sample mean
= 61
sampling distribution of the standard deviation(standard error)
=
/
n = 10 /
9 = 3.33
P(
>64 ) = 1 - P(
< 64)
= 1 - P[(
-
) /
< (64-61) /3.33 ]
= 1 - P(z < 0.90)
Using z table
= 1 -0.8159
= 0.1841
probability= 0.1841
b)
P(
< 58)
= P[(
-
) /
< (58-61) /3.33 ]
=P(z < -0.90)
Using z table
probability =0.1841
c)
P(58<
< 64) = P[(58-61) /3.33< (
-
) /
< (64-61) /3.33 )
= P( -0.90< Z < 0.90)
= P(Z < 0.90) - P(Z < -0.90)
Using z table
=0.8159-0.1841
probability=0.6318