8th Edition

ISBN: 9781337672320

Author: BRASE

Publisher: Cengage

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A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

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Textbook Question

Chapter 7.3, Problem 13P

Basic Computation: Find Probabilities In Problems 5-14, assume that x has a normal distribution with the specified mean and standard deviation. Find the indicated probabilities.

13. p ( x ≥ 90 ) ; μ = 100 ; σ = 15

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 7.3, Problem 12P

Chapter 7.3, Problem 14P

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Basic Computation: Find Probabilities In Problems 5-14, assume that x has a normal distribution with the specified mean and standard deviation. Find the indicated probabilities. 13. p ( x ≥ 90 ) ; μ = 100 ; σ = 15

Solution Summary: The author explains how to find the probabilities corresponding to the areas under the distribution curve using the formula for normal distribution.

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