8.23 The masses of 1500 ball bearings are normally distributed, with a mean of 22.40 g and a standard deviationof 0.048 g. If 300 random samples of size 36 are drawn from this population, determine the expected meanand standard deviation of the sampling distribution of means if the sampling is done (a) with replacementand (b) without replacement. 8.23The masses of 1500 ball bearings are normally distributed, with a mean of 22.40 g and a standard deviationof 0.048 g. If 300 random samples of size 36 are drawn from this population, determine the expected meanand standard deviation of the sampling distribution of means if the sampling is done (a) with replacementand (b) without replacement.

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Answered: 23 The masses of 1500 ball bearings are…

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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8.23 The masses of 1500 ball bearings are normally distributed, with a mean of 22.40 g and a standard deviation
of 0.048 g. If 300 random samples of size 36 are drawn from this population, determine the expected mean
and standard deviation of the sampling distribution of means if the sampling is done (a) with replacement
and (b) without replacement.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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