内容正文:
Chapter
Confidence Intervals
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Larson/Farber 6th ed
Chapter 1
Chapter Outline
6.1 Confidence Intervals for the Mean ( Known)
6.2 Confidence Intervals for the Mean ( Unknown)
6.3 Confidence Intervals for Population Proportions
6.4 Confidence Intervals for Variance and Standard
Deviation
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Section 6.3
Confidence Intervals for Population Proportions
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
Section 6.3 Objectives
How to find a point estimate for the population proportion
How to construct and interpret confidence intervals for a population proportion
How to determine the minimum sample size required when estimating a population proportion
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Population Proportion
Population Proportion, p
The probability of success in a single trial of a binomial experiment is p
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The point estimate for p, the population proportion of successes, is given by the proportion of successes in a sample and is denoted by
= Sample proportion
where x is the number of successes in the sample and n is the sample size. The point estimate for the population proportion of failures is = 1 – . The symbols and are read as “p hat” and “q hat.”
Point Estimate for p
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Example: Point Estimate for p
In a survey of 1550 U.S. adults, 1054 said that they use the social media website Facebook. Find a point estimate for the population proportion of U.S. adults who use Facebook. (Adapted from Pew Research Center)
Solution:
The number of successes is the number of adults who use Facebook, so x = 1054. The sample size is n = 1550. So, the sample proportion is
= = = 0.68 = 68%
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Confidence Intervals for a Population Proportion
A c-confidence interval for the