Elementary Statistics Books a la carte Plus NEW MyLab Statistics with Pearson eText - Access Card Package (6th Edition)

6th Edition

ISBN: 9780133876239

Author: Ron Larson, Betsy Farber

Publisher: PEARSON

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Estimation

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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Chapter 6.1, Problem 29E

In Exercises 29–32, determine the minimum sample size n needed to estimate μ for the values of c, σ, and E.

29. c = 0.90, σ = 6.8, E = 1

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 6.1, Problem 28E

Chapter 6.1, Problem 30E

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Chapter 6 Solutions

Elementary Statistics Books a la carte Plus NEW MyLab Statistics with Pearson eText - Access Card Package (6th Edition)

Ch. 6.1 - Prob. 1TY Ch. 6.1 - Prob. 2TY Ch. 6.1 - Prob. 3TY Ch. 6.1 - Prob. 4TY Ch. 6.1 - Prob. 5TY Ch. 6.1 - Prob. 6TY Ch. 6.1 - When estimating a population mean, are you more...Ch. 6.1 - Which statistic is the best unbiased estimator for...Ch. 6.1 - For the same sample statistics, which level of...Ch. 6.1 - You construct a 95% confidence interval for a...

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In Exercises 29–32, determine the minimum sample size n needed to estimate μ for the values of c, σ, and E . 29. c = 0.90, σ = 6.8, E = 1

Solution Summary: The author explains that the minimum sample size n needed to estimate mu is 126.

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Chapter 6 Solutions