Which is NOT a correct statement about Z-scores? a.Any variable that is nearly normally distributed can be standardized to a Z-score b.Z-score is based on the standard normal distribution with mean of zero and standard deviation of one c.Z-score of an observation is defined as the number of standard deviations falls above or below the mean d.Z-scores from the two different variables cannot be compared

The objective of the question is to identify the incorrect statement about Z-scores among the given…

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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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Which is NOT a correct statement about Z-scores?

	a.	Any variable that is nearly normally distributed can be standardized to a Z-score
	b.	Z-score is based on the standard normal distribution with mean of zero and standard deviation of one
	c.	Z-score of an observation is defined as the number of standard deviations falls above or below the mean
	d.	Z-scores from the two different variables cannot be compared

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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