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The assets (in billions of dollars) of the four wealthiest people in a particular country are 41; 25, 19, 14. Assume that samples of size n = 2 are randomly selected with replacement from this population of four values. each sample, construct a table representing the sampling distribution of the sample mean. In the table, values of the sample mean that are the same have been combined. 41 33 30 27.5 25 (Type integers or fractions.) Probability The mean of the population, sample means, (Round to two decimal places as needed.) b. Compare the mean of the population to the mean of the sampling distribution the sample mean. The sample means means x 22 19.5 19 16.5 14 is Probability c. Do the sample means target the value of the population mean? In general, do sample means make good estimates of population means? Why or why not? the mean of the the population mean. In general, sample make good estimates of population means because the mean is estimator.

The assets (in billions of dollars) of the four wealthiest people in a particular country are 41; 25, 19, 14. Assume that samples of size n = 2 are randomly selected with replacement from this population of four values. each sample, construct a table representing the sampling distribution of the sample mean. In the table, values of the sample mean that are the same have been combined. 41 33 30 27.5 25 (Type integers or fractions.) Probability The mean of the population, sample means, (Round to two decimal places as needed.) b. Compare the mean of the population to the mean of the sampling distribution the sample mean. The sample means means x 22 19.5 19 16.5 14 is Probability c. Do the sample means target the value of the population mean? In general, do sample means make good estimates of population means? Why or why not? the mean of the the population mean. In general, sample make good estimates of population means because the mean is estimator.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The assets (in billions of dollars) of the four wealthiest people in a particular country are 41, 25, 19, 14. Assume that samples of size n = 2 are randomly selected with replacement from this population of four values. each sample, construct a table representing the sampling distribution of the sample mean. In the table, values of the sample mean that are the same have been combined. X 41 33 30 27.5 25 (Type integers or fractions.) Probability The mean of the population, sample means, (Round to two decimal places as needed.) b. Compare the mean of the population to the mean of the sampling distribution of the sample mean. means is The sample means 22 19.5 19 16.5 14 Probability c. Do the sample means target the value of the population mean? In general, do sample means make good estimates of population means? Why or why not? the mean of the the population mean. In general, sample make good estimates of population means because the mean is estimator.
Transcribed Image Text:The assets (in billions of dollars) of the four wealthiest people in a particular country are 41, 25, 19, 14. Assume that samples of size n = 2 are randomly selected with replacement from this population of four values. each sample, construct a table representing the sampling distribution of the sample mean. In the table, values of the sample mean that are the same have been combined. X 41 33 30 27.5 25 (Type integers or fractions.) Probability The mean of the population, sample means, (Round to two decimal places as needed.) b. Compare the mean of the population to the mean of the sampling distribution of the sample mean. means is The sample means 22 19.5 19 16.5 14 Probability c. Do the sample means target the value of the population mean? In general, do sample means make good estimates of population means? Why or why not? the mean of the the population mean. In general, sample make good estimates of population means because the mean is estimator.
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