4th Edition

ISBN: 9781305093836

Author: HEALEY, Joseph F.

Publisher: Cengage Learning,

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When we calculate intervals in probability and statistics, it can be simply termed as finding out a confidence interval. The confidence interval is usually calculated from the data set which is observed. The value of the parameter that needs to be calcul…

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Textbook Question

Chapter 5, Problem 5.2P

Assume that the distribution of scores on a college entrance exam is normal, with a mean of 500 and a standard deviation of 100. For each of the following scores, find the equivalent Z score, the percentage of the area above the score, and the percentage of the area below the score.

X i	Z score	% Area Above	% Area Below
650
400
375
586
437
526
621
498
517
398

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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Chapter 5 Solutions

Essentials Of Statistics

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