The diameter of a brand of tennis balls is approximately normally distributed, with a mean of 2.55 inches and a standard deviation of 0.06 inch. A random sample of 12
tennis balls is selected. Complete parts (a) through (d) below.
a. What is the sampling distribution of the mean?
A. Because the population diameter of tennis balls is approximately normally distributed, the sampling distribution of samples of size 12 will be the uniform distribution.
B. Because the population diameter of tennis balls is approximately normally distributed, the sampling distribution of samples of size 12will not be approximately normal.
C. Because the population diameter of tennis balls is approximately normally distributed, the sampling distribution of samples of size 12
will also be approximately normal.
D. Because the population diameter of tennis balls is approximately normally distributed, the sampling distribution of samples of size 12 cannot be found.
b) What is the probability that the sample mean is less than 2.53 inches?
c) What is the probability that the sample mean is between 2.54 and 2.57 inches?
d) The probability is 63% that the sample mean will be between what two values symmetrically distributed around the population mean?
The lower bound is _____ inches. The upper bound is ____inches.
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