Chapter statistics, data, and Statistical Thinking 29 The Science of Statistics 30 Types of Statistical Applications 31


Identifying and Estimating the Target Parameter 343



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Chapter 1 Statistics таржимали

7.1 Identifying and Estimating the Target Parameter 343
7.2 Confidence Interval for a Population Mean: Normal (z) Statistic 345
7.3 Confidence Interval for a Population Mean: Student’s t-Statistic 355
7.4 Large-Sample Confidence Interval for a Population Proportion
7.5 Determining the Sample Size 372
7.6 Confidence Interval for a Population Variance (Optional) 379
Statistics in Action: Medicare Fraud Investigations 343
Using Technology: MINITAB: Confidence Intervals 392
TI-83/TI-84 Plus Graphing Calculator: Confidence Intervals 394 365
Chapter 8 inferences Based on a Single Sample: Tests of hypothesis 396
8.1 The Elements of a Test of Hypothesis 397
8.2 Formulating Hypotheses and Setting Up the Rejection Region 403
8.3 Observed Significance Levels: p-Values 408
8.4 Test of Hypothesis about a Population Mean: Normal (z) Statistic 413
8.5 Test of Hypothesis about a Population Mean: Student’s t-Statistic 421 8.6 Large-Sample Test of Hypothesis about a Population Proportion 428
8.7 Calculating Type II Error Probabilities: More about b (Optional) 436
8.8 Test of Hypothesis about a Population Variance (Optional) 445 Statistics in Action: Diary of a KLEENEX® User—How Many Tissues in a Box? 397
Using Technology: MINITAB: Tests of Hypotheses 458
TI-83/TI-84 Plus Graphing Calculator: Tests of Hypotheses 459
Chapter 9 inferences Based on Two Samples: Confidence intervals and Tests of hypotheses 461
9.1 Identifying the Target Parameter 462
9.2 Comparing Two Population Means: Independent Sampling 463
9.3 Comparing Two Population Means: Paired Difference Experiments 481
9.4 Comparing Two Population Proportions: Independent Sampling 493
9.5 Determining the Sample Size 501
9.6 Comparing Two Population Variances: Independent Sampling (Optional) 506

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