3rd Edition

ISBN: 9780135190210

Author: Gould

Publisher: PEARSON CO

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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, Problem 64SE

Democracy and Free Press A 2017 survey of U.S. adults found the 64 % believed that freedom of news organization to criticize political leaders is essential to maintaining a strong democracy. Assume the sample size was 500.

a. How many people in the sample felt this way?

b. Is the sample large enough to apply the Central Limit Theorem? Explain. Assume all other conditions are met.

c. Find a 95 % confidence interval for the proportion of U.S. adults who believe that freedom of news organizations to criticize political leaders is essential to maintaining a strong democracy.

d. Find the width of the 95 % confidence interval. Round your answer to the nearest whole percent.

e. Now assume the sample size was increased to 4500 and the percentage was still 64 % . Find a 95 % confidence interval and report the width of the interval.

f. What happened to the width of the confidence interval when the sample size was increased. Did it increase or decrease?

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 63SE

Chapter 7, Problem 65SE

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Chapter 7 Solutions

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Ch. 7 - Population vs. Sample (Example 1) In 2017 the...Ch. 7 - Population vs. Sample In 2017 Pew Research Center...Ch. 7 - Parameter vs. Statistic (Example 2) Bob Ross...Ch. 7 - Parameter vs. Statistic The website...Ch. 7 - x vs. Two symbols are used for the mean: and x....Ch. 7 - vs. s Two symbols are used for the standard...Ch. 7 - vs. x The mean weight of all professional NBA...Ch. 7 - vs. s The standard deviation of all professional...Ch. 7 - Notation (Example 3) The city of San Francisco...Ch. 7 - Notation The city of Chicago provides an open data...

Ch. 7 - Samples and Populations (Example 4) Chapman...Ch. 7 - Samples and Populations The Centers for Disease...Ch. 7 - Sample vs. Census You are receiving a large...Ch. 7 - Sampling GPAs Suppose you want to estimate the...Ch. 7 - Sampling with and without Replacement Explain the...Ch. 7 - Simple Random Sampling Is simple random sampling...Ch. 7 - Finding a Random Sample (Example 5) You need to...Ch. 7 - Finding a Random Sample You need to select a...Ch. 7 - Random Sampling Assume your class has 30 students...Ch. 7 - Random Sampling with Coins Assume your class has...Ch. 7 - Survey Response (Example 6) A school district...Ch. 7 - Survey Response To determine if patrons are...Ch. 7 - Views on Capital Punishment In carrying out a...Ch. 7 - Views on Capital Punishment Use the data given in...Ch. 7 - Targets: Bias or Lack of Precision? a. If a...Ch. 7 - Targets: Bias or Lack of Precision, Again a. If a...Ch. 7 - Bias? Suppose that, when taking a random sample of...Ch. 7 - Unbiased Sample? 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Solution Summary: The author explains how the sample size is large enough to apply the Central Limit Theorem.

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