A First Course in Statistics, Global Edition

For courses in introductory statistics. A Contemporary Classic Classic, yet contemporary; theoretical, yet applied-McClave & Sincich's A First Course in Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. This new edition is extensively revised with an eye on clearer, more concise language throughout the text and in the exercises. Ideal for one- or two-semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory. Also available with MyStatLab MyStatLab(TM) is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. For this edition, MyStatLab offers 30% new and updated exercises. Note: You are purchasing a standalone product; MyLab(TM) & Mastering(TM) does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab & Mastering, search for: 0134090438 / 9780134090436 * Statistics Plus New MyStatLab with Pearson eText -- Access Card Package Package consists of: 0134080211 / 9780134080215 * Statistics 0321847997 / 9780321847997 * My StatLab Glue-in Access Card 032184839X / 9780321848390 * MyStatLab Inside Sticker for Glue-In Packages Front Cover......Page 1 Applet Correlation......Page 2 Title Page......Page 8 Copyright Page......Page 9 Contents......Page 10 Preface......Page 14 Applications Index......Page 22 Chapter 1 Statistics, Data, and Statistical Thinking......Page 28 Statistics in Action: Social Media Network Usage—Are You Linked In?......Page 29 1.2 Types of Statistical Applications......Page 30 1.3 Fundamental Elements of Statistics......Page 32 1.4 Types of Data......Page 36 1.5 Collecting Data: Sampling and Related Issues......Page 38 1.6 The Role of Statistics in Critical Thinking and Ethics......Page 43 Using Technology: MINITAB: Accessing and Listing Data......Page 52 Chapter 2 Methods for Describing Sets of Data......Page 56 2.1 Describing Qualitative Data......Page 58 2.2 Graphical Methods for Describing Quantitative Data......Page 69 2.3 Numerical Measures of Central Tendency......Page 81 2.4 Numerical Measures of Variability......Page 92 2.5 Using The Mean and Standard Deviation to Describe Data......Page 98 2.6 Numerical Measures of Relative Standing......Page 106 2.7 Methods for Detecting Outliers: Box Plots and z-Scores......Page 110 2.8 Graphing Bivariate Relationships (Optional)......Page 120 2.9 Distorting the Truth with Descriptive Statistics......Page 125 Statistics in Action: Body Image Dissatisfaction: Real or Imagined?......Page 57 TI-83/TI–84 Plus Graphing Calculator: Describing Data......Page 139 Chapter 3 Probability......Page 142 3.1 Events, Sample Spaces, and Probability......Page 144 3.2 Unions and Intersections......Page 157 3.3 Complementary Events......Page 160 3.4 The Additive Rule and Mutually Exclusive Events......Page 162 3.5 Conditional Probability......Page 169 3.6 The Multiplicative Rule and Independent Events......Page 172 Statistics in Action: Lotto Buster! Can You Improve Your Chance of Winning?......Page 143 Using Technology: TI-83/TI-84 Plus Graphing Calculator: Combinations and Permutations......Page 192 Chapter 4 Random Variables and Probability Distributions......Page 193 4.1 Two Types of Random Variables......Page 195 4.2 Probability Distributions for Discrete Random Variables......Page 198 4.3 The Binomial Random Variable......Page 210 4.4 Probability Distributions for Continuous Random Variables......Page 221 4.5 The Normal Distribution......Page 223 4.6 Descriptive Methods for Assessing Normality......Page 236 4.7 Approximating a Binomial Distribution with a Normal Distribution (Optional)......Page 245 4.8 Sampling Distributions......Page 250 4.9 The Sampling Distribution of x and the Central Limit Theorem......Page 257 Statistics in Action: Super Weapons Development—Is the Hit Ratio Optimized?......Page 194 Using Technology: MINITAB: Binomial Probabilities, Normal Probability, and SimulatedSampling Distribution......Page 274 Chapter 5 Inferences Based on a SingleSample......Page 279 Statistics in Action: Medicare Fraud Investigations......Page 280 5.2 Confidence Interval for a Population Mean: Normal (z) Statistic......Page 282 5.3 Confidence Interval for a Population Mean: Student’s t-Statistic......Page 292 5.4 Large-Sample Confidence Interval for a Population Proportion......Page 302 5.5 Determining the Sample Size......Page 309 5.6 Confidence Interval for a Population Variance (Optional)......Page 316 Using Technology: MINITAB: Confidence Intervals......Page 329 TI-83/TI-84 Plus Graphing Calculator: Confidence Intervals......Page 331 Chapter 6 Inferences Based on a Single Sample Sample......Page 333 6.1 The Elements of a Test of Hypothesis......Page 334 6.2 Formulating Hypotheses and Setting Up the Rejection Region......Page 340 6.3 Observed Significance Levels:p-Values......Page 345 6.4 Test Of Hypothesis about a Population Mean: Normal (z) Statistic......Page 350 6.5 Test of Hypothesis about a Population Mean: Student’s t-Statistic......Page 358 6.6 Large-Sample Test of Hypothesis about a Population Proportion......Page 365 6.7 Test of Hypothesis about a Population Variance (Optional)......Page 373 Statistics in Action: Diary of a KLEENEX® User—How Many Tissues in a Box?......Page 379 Using Technology: MINITAB: Tests of Hypotheses......Page 391 TI-83/TI-84 Plus Graphing Calculator: Tests of Hypotheses......Page 393 Chapter 7 Comparing Population Means......Page 394 Statistics in Action: ZixIt Corp. v. Visa USA Inc.—A Libel Case......Page 395 7.2 Comparing Two Population Means: Independent Sampling......Page 396 7.3 Comparing Two Population Means: Paired Difference Experiments......Page 414 7.4 Determining the Sample Size......Page 426 7.5 A Nonparametric Test for Comparing Two Populations: Independent Samples (Optional)......Page 430 7.6 A Nonparametric Test for Comparing Two Populations: Paired Difference Experiment (Optional)......Page 439 7.7 Comparing Three or More Population Means: Analysis of Variance (Optional)......Page 448 Using Technology: MINITAB: Comparing Means......Page 470 TI-83/TI-84 Plus Graphing Calculator: Comparing Means......Page 472 Chapter 8 Comparing Population Proportions......Page 476 8.1 Comparing Two Population Proportions: Independent Sampling......Page 478 8.2 Determining the Sample Size......Page 485 8.3 Testing Category Probabilities: Multinomial Experiment......Page 488 8.4 Testing Categorical Probabilities: Two-Way (Contingency) Table......Page 497 Statistics in Action: The Case of the Ghoulish Transplant Tissue......Page 477 Using Technology: MINITAB: Categorized Data Analysis......Page 523 TI-83/TI-84 Plus Graphing Calculator:Categorical Data Analyses......Page 524 Chapter 9 Simple Linear Regression......Page 526 9.1 Probabilistic Models......Page 528 9.2 Fitting The Model: The Least Squares Approach......Page 532 9.3 Model Assumptions......Page 545 9.4 Assessing The Utility of the Model: Making Inferences About The Slope b1......Page 550 9.5 The Coefficients of Correlation and Determination......Page 559 9.6 Using the Model for Estimation and Prediction......Page 569 9.7 A Complete Example......Page 577 9.8 A Nonparametric Test for Correlation (Optional)......Page 581 Statistics in Action: Can “Dowsers” Really Detect Water?......Page 527 Using Technology: MINITAB: Simple Linear Regression......Page 600 TI-83/TI-84 Plus Graphing Calculator: Simple Linear Regression......Page 602 Appendix A: Summation Notation......Page 604 Appendix B: Tables......Page 606 Table I Binomial Probabilities......Page 607 Table II Normal Curve Areas......Page 611 Table III Critical Values of t......Page 612 Table IV Critical Values of x2......Page 613 Table V Critical Values of TL and TU for the Wilcoxon Rank Sum Test......Page 615 Table VI Critical Values of T0 in the Wilcoxon Signed Rank Test......Page 616 Table VII Percentage Points of the F-Distribution, a = .10......Page 617 Table VIII Percentage Points of the F-Distribution, a = .05......Page 619 Table IX Percentage Points of the F-Distribution, a = .025......Page 621 Table X Percentage Points of the F-Distribution, a = .01......Page 623 Table XI Critical Values of Spearman’s Rank Correlation Coefficient......Page 625 Appendix C: Calculation Formulas for Analysis of Variance (independent Sampling)......Page 626 Short Answers to Selected Odd-Numbered Exercises......Page 627 Index......Page 634 Credits......Page 639 Selected Formulas......Page 641 Back Cover......Page 651 __For courses in introductory statistics.__Classic, yet contemporary; theoretical, yet applied-McClave & Sincich'sgives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. This new edition is extensively revised with an eye on clearer, more concise language throughout the text and in the exercises. Ideal for one- or two-semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory.MyStatLab(TM) is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. For this edition, MyStatLab offers 30% new and updated exercises.You are purchasing a standalone product; MyLab(TM) & Mastering(TM) does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab & Mastering, search for: 0134090438 / 9780134090436 \* Statistics Plus New MyStatLab with Pearson eText -- Access Card Package Package consists of: 0134080211 / 9780134080215 \* Statistics 0321847997 / 9780321847997 \* My StatLab Glue-in Access Card 032184839X / 9780321848390 \* MyStatLab Inside Sticker for Glue-In Packages The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. Classic, yet contemporary; theoretical, yet applied--McClave & Sincich's A First Course in Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasises inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. This new edition is extensively revised with an eye on clearer, more concise language throughout the text and in the exercises. Ideal for one- or two-semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory