2. Suppose that the weights of adult males have a mean of 65 kilograms and a standard deviation of 20 kilograms. Suppose that the distribution of weights is not normal. a. Assuming that a sample size of n=16 is big enough for the Central Limit Theorem to apply. Find the probability that a random sample of 16 males from this population will have a mean weight that exceeds 75 kilograms b. Determine the range of weights where the middle 90% of the average weight of a random sample size 16 will lie.

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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2. Suppose that the weights of adult males have a mean of 65 kilograms and a
standard deviation of 20 kilograms. Suppose that the distribution of weights is
not normal.
a. Assuming that a sample size of n-16 is big enough for the Central Limit
Theorem to apply. Find the probability that a random sample of 16 males
from this population will have a mean weight that exceeds 75 kilograms
b. Determine the range of weights where the middle 90% of the average weight
of a random sample size 16 will lie.
Transcribed Image Text:2. Suppose that the weights of adult males have a mean of 65 kilograms and a standard deviation of 20 kilograms. Suppose that the distribution of weights is not normal. a. Assuming that a sample size of n-16 is big enough for the Central Limit Theorem to apply. Find the probability that a random sample of 16 males from this population will have a mean weight that exceeds 75 kilograms b. Determine the range of weights where the middle 90% of the average weight of a random sample size 16 will lie.
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