Monthly Sales6267.197058.067119.57147.187198.527298.097325.77335.687355.977481.057490.237530.087616.097682.697684.147704.127704.987779.287798.237815.157844.167890.217977.67993.168021.038028.378068.868082.428096.178119.258129.218190.688255.288282.448376.318392.48400.958451.168456.668505.358539.258543.658573.058641.788667.488751.088777.978800.088888.658907.039096.879241.749411.689450.739484.629514.579521.49524.919733.4410123.24Given the company’s performance record and based on the empirical rule of normal distribution (also known as the 68%-95%-99.7% rule), what would be the lower bound of the range of sales values that contains 68% of the monthly sales? What would be the upper bound of the range of sales values that contains 68% of the monthly sales?

Given: Data of monthly sales of the company.

Answered: Given the company’s performance record…

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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Question

Monthly Sales
6267.19
7058.06
7119.5
7147.18
7198.52
7298.09
7325.7
7335.68
7355.97
7481.05
7490.23
7530.08
7616.09
7682.69
7684.14
7704.12
7704.98
7779.28
7798.23
7815.15
7844.16
7890.21
7977.6
7993.16
8021.03
8028.37
8068.86
8082.42
8096.17
8119.25
8129.21
8190.68
8255.28
8282.44
8376.31
8392.4
8400.95
8451.16
8456.66
8505.35
8539.25
8543.65
8573.05
8641.78
8667.48
8751.08
8777.97
8800.08
8888.65
8907.03
9096.87
9241.74
9411.68
9450.73
9484.62
9514.57
9521.4
9524.91
9733.44
10123.24

Given the company’s performance record and based on the empirical rule of normal distribution (also known as the 68%-95%-99.7% rule), what would be the lower bound of the range of sales values that contains 68% of the monthly sales? What would be the upper bound of the range of sales values that contains 68% of the monthly sales?

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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