2. The amount of rainfall per month in Gotham City is normally distributed with a mean of 2.75 inches and a standard deviation of 0.5 inches. You select a random sample of 16 months and compute the mean rainfall. (a) What are the values of the mean and the standard error of the mean for this sampling distribution of the mean? (b) What is the probability that the sample mean is more than 2.90 inches? () What is the probability that the sample mean falls between 2.63 and 2.68 inches?

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2. The amount of rainfall per month in Gotham City is normally distributed with a mean of
2.75 inches and a standard deviation of 0.5 inches. You select a random sample of 16 months
and compute the mean rainfall.
(a) What are the values of the mean and the standard error of the mean for this sampling
distribution of the mean?
(b) What is the probability that the sample mean is more than 2.90 inches?
(c) What is the probability that the sample mean falls between 2.63 and 2.68 inches?
(d) Find a rainfall amount such that the probability that the sample mean falls above it is
95%.
(e) Find two rainfall amounts symmetric about the mean such that the probability that
the sample mean falls between them is 99%.
(f) What is the probability that the sample mean is below 2.35 inches?
(g) Why are we justified in assuming that the sampling distribution of the mean will be
normally distributed in this problem?
Transcribed Image Text:2. The amount of rainfall per month in Gotham City is normally distributed with a mean of 2.75 inches and a standard deviation of 0.5 inches. You select a random sample of 16 months and compute the mean rainfall. (a) What are the values of the mean and the standard error of the mean for this sampling distribution of the mean? (b) What is the probability that the sample mean is more than 2.90 inches? (c) What is the probability that the sample mean falls between 2.63 and 2.68 inches? (d) Find a rainfall amount such that the probability that the sample mean falls above it is 95%. (e) Find two rainfall amounts symmetric about the mean such that the probability that the sample mean falls between them is 99%. (f) What is the probability that the sample mean is below 2.35 inches? (g) Why are we justified in assuming that the sampling distribution of the mean will be normally distributed in this problem?
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