I need help with this question: (It can be computer generated)Suppose the systolic blood pressure (in mm) of adult males has an approximately normal distribution with mean μ =125 and standard deviation σ =14. A) Create an empirical rule graph with the following:A title and label for the horizontal axis including units.Vertical lines for the mean and first 3 standard deviations in each direction with numerical labels on the horizontal axisLabels for the areas of the 8 regions separated by the vertical lines as well.B) About 99.7% of men will have blood pressure between what amounts?C) What percentage of men will have a systolic blood pressure outside the range 83 mm to 139 mm?

μ =125 and σ =14. X~N(125,14)

Answered: I need help with this question: (It can…

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 this question: (It can be computer generated)
Suppose the systolic blood pressure (in mm) of adult males has an approximately normal distribution with mean μ =125 and standard deviation σ =14.

A) Create an empirical rule graph with the following:

A title and label for the horizontal axis including units.
Vertical lines for the mean and first 3 standard deviations in each direction with numerical labels on the horizontal axis
Labels for the areas of the 8 regions separated by the vertical lines as well.

B) About 99.7% of men will have blood pressure between what amounts?

C) What percentage of men will have a systolic blood pressure outside the range 83 mm to 139 mm?

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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