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The shape of the sampling distribution of the sample mean for the sample size n= 12 will be: O a. Normal because the population distribution is non-normal. O b. Normal because the sample size is large enough O. Non-Normal because the sample mean is larger than the population mean. O d. Non-Normal because the sample size is too small

The shape of the sampling distribution of the sample mean for the sample size n= 12 will be: O a. Normal because the population distribution is non-normal. O b. Normal because the sample size is large enough O. Non-Normal because the sample mean is larger than the population mean. O d. Non-Normal because the sample size is too small

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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The mean age of all 2550 students in a small community college is 22.8 years with a standard deviation of 3.2 years, and the distribution is non-normal. A random sample of 12 students' age is obtained, and the mean is 23.2 years with a standard deviation of 2.4 years. The shape of the sampling distribution of the sample mean for the sample size n = 12 will be: O a. Normal because the population distribution is non-normal. O b. Normal because the sample size is large enough. O. Non-Normal because the sample mean is larger than the population mean. O d. Non-Normal because the sample size is too small.
Transcribed Image Text:The mean age of all 2550 students in a small community college is 22.8 years with a standard deviation of 3.2 years, and the distribution is non-normal. A random sample of 12 students' age is obtained, and the mean is 23.2 years with a standard deviation of 2.4 years. The shape of the sampling distribution of the sample mean for the sample size n = 12 will be: O a. Normal because the population distribution is non-normal. O b. Normal because the sample size is large enough. O. Non-Normal because the sample mean is larger than the population mean. O d. Non-Normal because the sample size is too small.
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