Elementary Statistics: Picturing the World (7th Edition)

7th Edition

ISBN: 9780134683416

Author: Ron Larson, Betsy Farber

Publisher: PEARSON

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Chapter 7, Problem 7.3.37RE

In Exercises 35–40, test the claim about the population mean μ at the level of significance α. Assume the population is normally distributed.

37. Claim: μ ≤ 51; α = 0.01. Sample statistics: x ¯ = 52 , s = 2.5, n = 40

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, Problem 7.3.36RE

Chapter 7, Problem 7.3.38RE

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Chapter 7 Solutions

Elementary Statistics: Picturing the World (7th Edition)

Ch. 7.1 - Write each claim as a mathematical statement....Ch. 7.1 - A company specializing in parachute assembly...Ch. 7.1 - For each claim, state H0 and Ha in words and in...Ch. 7.1 - You perform a hypothesis test for each claim. How...Ch. 7.1 - 1. You represent a chemical company that is being...Ch. 7.1 - What are the two types of hypotheses used in a...Ch. 7.1 - Describe the two types of errors possible in a...Ch. 7.1 - Prob. 3E Ch. 7.1 - Does failing to reject the null hypothesis mean...Ch. 7.1 - True or False? In Exercises 510, determine whether...

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In Exercises 35–40, test the claim about the population mean μ at the level of significance α. Assume the population is normally distributed. 37. Claim: μ ≤ 51; α = 0.01. Sample statistics: x ¯ = 52 , s = 2.5, n = 40

Solution Summary: The author states that there is enough evidence to reject the claim that the population mean is less than or equal to 51.

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