examine the normal quantile plot and determine whether the sample data appear to be from a population with a normal distribution.question is on the attachment 6. Diet Pepsi The normal quantile plot represents weights (pounds) of the contents of cans ofDiet Pepsi (from Data Set 37 "Cola Weights and Volumes" in Appendix B).Normal Quantile Plot of PEPSI DIET WT (n=36)21.510.5아-0.5-1-1.5-20.7750.780.785Weight (pounds)0.790.795

The given normal quantile plot represents weights of the contents of cans of Diet Pepsi.The normal quantile plot is used to assess whether the data comes from a normal distributed population or not. If the data points in the plot closely follow the straight line at a 45 degrees angle upward, the data is said to follow normal distribution. If the data points form a curve instead of a straight line, the sample data is said to be skewed and the distribution of the population is not normal.In this case, since the points lie closer to the straight line without forming any curved pattern, the sample data appears to come from a population with a normal distribution.Since the points lie closer to the straight line without forming any curved pattern, the sample data appears to come from a population with a normal distribution.

Answered: examine the normal quantile plot and…

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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examine the normal quantile plot and determine whether the sample data appear to be from a population with a normal distribution.

question is on the attachment

6. Diet Pepsi The normal quantile plot represents weights (pounds) of the contents of cans of
Diet Pepsi (from Data Set 37 "Cola Weights and Volumes" in Appendix B).
Normal Quantile Plot of PEPSI DIET WT (n=36)
2
1.5
1
0.5
아
-0.5
-1
-1.5
-2
0.775
0.78
0.785
Weight (pounds)
0.79
0.795

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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