In: Statistics and Probability
A random sample of n = 100 observations is drawn from a population with mean 10 and variance 400.
(a) Describe the shape of the sampling distribution of ¯x. Does your answer depend on the sample size? (
b) Give the mean and standard deviation of the sampling distribution of ¯x.
(c) Find the probability that ¯x is less than 8.
(d) Find the probability that ¯x is greater than 9.5.
(e) Find the probability that ¯x is between 8 and 9.5.
Solution :
(a)
The shape of the sampling distribution of
is approximately normal .
Yes
(b)
The sampling distribution of mean is ,
= 10
The sampling distribution of standard deviation is ,
=
/
n = 20 /
100 = 2
(c)
P(
< 8) = P((
-
) /
< (8 - 10) / 2)
= P(z < -1)
= 0.0228
(d)
P(
> 9.5) = 1 - P(
< 9.5)
= 1 - P[(
-
) /
< (9.5 - 10) / 2]
= 1 - P(z < -0.25)
= 0.5987
(e)
P(8 < x bar < 9.5) = 0.4013 - 0.0228 = 0.3785