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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 10 will not be approximately normal. B. Because the population diameter of tennis balls is approximately normally distributed, the sampling distribution of samples of size 10 will also be approximately normal. C. Because the population diameter of tennis balls is approximately normally distributed, the sampling distribution of samples of size 10 cannot be found. D. Because the population diameter of tennis balls is approximately normally distributed, the sampling distribution of samples of size 10 will be the uniform distribution. b. What is the probability that the sample mean is less than 2.68 inches? P(X<2.68)= (Round to four decimal places as needed.) c. What is the probability that the sample mean is between 2.67 and 2.70 inches? P(2.67.

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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 10 will not be approximately normal. B. Because the population diameter of tennis balls is approximately normally distributed, the sampling distribution of samples of size 10 will also be approximately normal. C. Because the population diameter of tennis balls is approximately normally distributed, the sampling distribution of samples of size 10 cannot be found. D. Because the population diameter of tennis balls is approximately normally distributed, the sampling distribution of samples of size 10 will be the uniform distribution. b. What is the probability that the sample mean is less than 2.68 inches? P(X<2.68)= (Round to four decimal places as needed.) c. What is the probability that the sample mean is between 2.67 and 2.70 inches? P(2.67

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  • 1. 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 10 will not be approximately normal. B. Because the population diameter of tennis balls is approximately normally distributed, the sampling distribution of samples of size 10 will also be approximately normal. C. Because the population diameter of tennis balls is approximately normally distributed, the sampling distribution of samples of size 10 cannot be found. D. Because the population diameter of tennis balls is approximately normally distributed, the sampling distribution of samples of size 10 will be the uniform distribution. b. What is the probability that the sample mean is less than 2.68 inches? P(X<2.68)= (Round to four decimal places as needed.) c. What is the probability that the sample mean is between 2.67 and 2.70 inches? P(2.67