1. A population random variable is normally distributed with a mean of
50 and a variance of 16. If a random sample of size n = 25 is drawn
from this population, what are the following probabilities?
a) that the sample mean will exceed 51;
b) that the sample mean will be between 48.5 and 51.5.
2. Repeat Exercise 1, but now with n = 36. What is the effect on the
probabilities of increasing the sample size?
3. Random samples of size n were selected from populations with the
means and variances given here. Find the mean and standard deviation
of the sampling distribution of the sample mean in each case:
a) n = 36, "\\mu" = 10, "\\sigma"2= 9;
b) n = 100, "\\mu"= 5, "\\sigma"2= 4;
c) n = 8, "\\mu"= 120, "\\sigma"2= 1.
4. Refer to Exercise 3.
a) If the sampled populations are normal, what is the sampling distribution of X \bar for parts a), b), and c)?
b) According to the Central Limit Theorem, if the sampled populations are not normal, what can be said about the sampling distribution of X \bar for parts a), b), and c)?
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