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Math Statistics Essential Statistics for the Behavioral Sciences

To explain z score of the standard normal distribution .

To explain z score of the standard normal distribution .

Solution Summary: The author explains the concepts of z -score, normal distribution, and standard standard distribution. Normal distribution is used to calculate the probabilities of continuous variables when the data is symmetric.

Essential Statistics for the Behavioral Sciences

Essential Statistics for the Behavioral Sciences

2nd Edition

ISBN: 9781506386300

Author: Gregory J. Privitera

Publisher: SAGE Publications, Inc

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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.

Chapter 5, Problem 7FP

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To explain z score of the standard normal distribution.

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