TAILIEUCHUNG - Ebook Elementary statistics (8th edition): Part 2
(BQ) Part 2 book "Elementary statistics" has contents: Confidence intervals for one population mean, hypothesis tests for one population mean, inferences for two population means, inferences for population proportions, analysis of variance, inferential methods in regression and correlation, Chi-Square procedure. | PART Inferential Statistics CHAPTER 8 Confidence Intervals for One Population Mean CHAPTER 9 Hypothesis Tests for One Population Mean CHAPTER 10 Inferences for Two Population Means CHAPTER 11 Inferences for Population Proportions CHAPTER 12 Chi-Square Procedures IV 304 340 389 442 478 CHAPTER 13 Analysis of Variance (ANOVA) 524 CHAPTER 14 Inferential Methods in Regression and Correlation 550 303 CHAPTER 8 Confidence Intervals for One Population Mean CHAPTER OUTLINE CHAPTER OBJECTIVES Estimating a In this chapter, you begin your study of inferential statistics by examining methods for estimating the mean of a population. As you might suspect, the statistic used to estimate the population mean, μ, is the sample mean, x. Because of sampling error, you ¯ cannot expect x to equal μ exactly. Thus, providing information about the accuracy of ¯ the estimate is important, which leads to a discussion of confidence intervals, the main topic of this chapter. In Section , we provide the intuitive foundation for confidence intervals. Then, in Section , we present confidence intervals for one population mean when the population standard deviation, σ , is known. Although, in practice, σ is usually unknown, we first consider, for pedagogical reasons, the case where σ is known. In Section , we investigate the relationship between sample size and the precision with which a sample mean estimates the population mean. This investigation leads us to a discussion of the margin of error. In Section , we discuss confidence intervals for one population when the population standard deviation is unknown. As a prerequisite to that topic, we introduce and describe one of the most important distributions in inferential statistics— Student’s t. Population Mean Confidence Intervals for One Population Mean When σ Is Known Margin of Error Confidence Intervals for One Population Mean When σ Is Unknown CASE STUDY The “Chips Ahoy! 1,000 Chips .
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