I need help with part 4 of this question. And an example for the last part. ----------------------------------------------------------------Read the scenarios below. For each data set, decide if you believe they would follow a normal distribution. Explain your reasoning and why you made that decision. The hand span (measured from the tip of the thumb to the tip of the extended 5th finger) of a random sample of high school seniors.The annual salaries of all employees of a large shipping company.The annual salaries of a random sample of 50 CEOs of major companies, 25 women and 25 men.The dates of 100 pennies taken from a cash drawer in a convenience store.Then think of your own example of a data set that would follow a normal distribution and explain why.

A normal distribution is a distribution that is a symmetric, unimodal distribution about its mean.…

Answered: Read the scenarios below. For each…

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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I need help with part 4 of this question. And an example for the last part.

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Read the scenarios below. For each data set, decide if you believe they would follow a normal distribution. Explain your reasoning and why you made that decision.

The hand span (measured from the tip of the thumb to the tip of the extended 5^th finger) of a random sample of high school seniors.
The annual salaries of all employees of a large shipping company.
The annual salaries of a random sample of 50 CEOs of major companies, 25 women and 25 men.
The dates of 100 pennies taken from a cash drawer in a convenience store.

Then think of your own example of a data set that would follow a normal distribution and explain why.

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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