Use a calculator or computer software to generate a normal quantile plot for the data about the ages of actresses at the times they won a particular award in the accompanying table. Then determine whether the data come from a normally distributed population.a. Generate a normal quantile plot for the data The table below presents a list of ages in four columns:| | | | ||---|---|---|---|| 59 | 25 | 30 | 23 || 35 | 26 | 42 | 29 || 49 | 46 | 43 | 34 || 39 | 26 | 21 | 81 || 33 | 28 | 28 | 28 || 40 | 27 | 30 | 44 || 59 | 37 | 58 | 38 || 37 | 32 | 30 | 21 || 34 | 32 | 43 | 29 || 46 | 30 | 22 | 26 |This data set can be used to analyze statistical measures such as mean, median, mode, and range for educational purposes, helping users understand distribution patterns within a group of individuals.

Here we have to generate QQ plot for the above data. QQ plot is used to check whether the data…

Answered: Use a calculator or computer software…

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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Use a calculator or computer software to generate a normal quantile plot for the data about the ages of actresses at the times they won a particular award in the accompanying table. Then determine whether the data come from a normally distributed population.

a. Generate a normal quantile plot for the data

The table below presents a list of ages in four columns:

| | | | |
|---|---|---|---|
| 59 | 25 | 30 | 23 |
| 35 | 26 | 42 | 29 |
| 49 | 46 | 43 | 34 |
| 39 | 26 | 21 | 81 |
| 33 | 28 | 28 | 28 |
| 40 | 27 | 30 | 44 |
| 59 | 37 | 58 | 38 |
| 37 | 32 | 30 | 21 |
| 34 | 32 | 43 | 29 |
| 46 | 30 | 22 | 26 |

This data set can be used to analyze statistical measures such as mean, median, mode, and range for educational purposes, helping users understand distribution patterns within a group of individuals.

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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