Answered: Q1)The following is true, except:…

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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Q1)The following is true, except:

a)Data transformations can be used to improve the normality status of your data (e.g. log transformation)

b)We need to assess normality prior to doing hypothesis testing, especially when the sample size is small .

c)QQ plots gives a very good indication of normality, when the scattered points are on the diagonal line (closer to a straight line), this suggests lack of normality.

d)When having significant results of Shapiro-Wilk test, we have sufficient evidence to reject the NULL hypothesis (i.e. normal distribution) in support of the alternative

f)The variability of the data should be regarded as noise, and thus ignored

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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