Suppose a population is known to be normally distributed with a mean, μ, equal to 144 and a standard deviation, σ, equal to 27. Approximately what percent of the population would be between 144 and 198? Suppose a population is known to be normally distributed with a mean, µ, equal to144 and a standard deviation, ơ, equal to 27. Approximately what percent of thepopulation would be between 144 and 198?34%13.5%81.5%47.5%95%68%

The mean is 144 and the standard deviation is 27.

Answered: Suppose a population is known to be…

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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Suppose a population is known to be normally distributed with a mean, μ, equal to 144 and a standard deviation, σ, equal to 27. Approximately what percent of the population would be between 144 and 198?

Suppose a population is known to be normally distributed with a mean, µ, equal to
144 and a standard deviation, ơ, equal to 27. Approximately what percent of the
population would be between 144 and 198?
34%
13.5%
81.5%
47.5%
95%
68%

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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