Statistics, Global Edition

A Contemporary Classic Classic, yet contemporary; theoretical, yet applied--McClave & Sincich's 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. KEY TOPICS: Statistics, Data, and Statistical Thinking; Methods for Describing Sets of Data; Probability; Discrete Random Variables; Continuous Random Variables; Sampling Distributions; Inferences Based on a Single Sample: Estimation with Confidence Intervals; Inferences Based on a Single Sample: Tests of Hypothesis; Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses; Analysis of Variance: Comparing More than Two Means; Simple Linear Regression; Multiple Regression and Model Building; Categorical Data Analysis; Nonparametric Statistics MARKET: For all readers interested in statistics. Front Cover......Page 1 Applet Correlation......Page 2 Title Page......Page 7 Copyright Page......Page 8 Contents......Page 9 Preface......Page 15 Applications Index......Page 23 Chapter 1 Statistics, Data, and Statistical Thinking......Page 31 Statistics in Action: Social Media Network Usage—Are You Linked In?......Page 32 1.2 Types of Statistical Applications......Page 33 1.3 Fundamental Elements of Statistics......Page 35 1.4 Types of Data......Page 39 1.5 Collecting Data: Sampling and Related Issues......Page 41 1.6 The Role of Statistics in Critical Thinking and Ethics......Page 46 Using Technology: MINITAB: Accessing and Listing Data......Page 55 Chapter 2 Methods for Describing Sets of Data......Page 59 2.1 Describing Qualitative Data......Page 61 2.2 Graphical Methods for Describing Quantitative Data......Page 72 2.3 Numerical Measures of Central Tendency......Page 84 2.4 Numerical Measures of Variability......Page 95 2.5 Using the Mean and Standard Deviation to Describe Data......Page 101 2.6 Numerical Measures of Relative Standing......Page 109 2.7 Methods for Detecting Outliers: Box Plots and z-Scores......Page 113 2.8 Graphing Bivariate Relationships (Optional)......Page 123 2.9 Distorting the Truth with Descriptive Statistics......Page 128 Statistics in Action: Body Image Dissatisfaction: Real or Imagined?......Page 60 TI-83/TI–84 Plus Graphing Calculator: Describing Data......Page 144 Chapter 3 Probability......Page 147 3.1 Events, Sample Spaces, and Probability......Page 149 3.2 Unions and Intersections......Page 162 3.3 Complementary Events......Page 165 3.4 The Additive Rule and Mutually Exclusive Events......Page 167 3.5 Conditional Probability......Page 174 3.6 The Multiplicative Rule and Independent Events......Page 177 3.7 Some Additional Counting Rules (Optional)......Page 189 Bayes’s Rule (Optional)......Page 199 Statistics in Action: Lotto Buster! Can You Improve Your Chance of Winning?......Page 148 Using Technology: TI-83/TI-84 Plus Graphing Calculator: Combinations and Permutations......Page 213 Chapter 4 Discrete Random Variables......Page 214 4.1 Two Types of Random Variables......Page 216 4.2 Probability Distributions for Discrete Random Variables......Page 219 4.3 Expected Values of Discrete Random Variables......Page 226 4.4 The Binomial Random Variable......Page 231 4.5 The Poisson Random Variable (Optional)......Page 244 4.6 The Hypergeometric Random Variable (Optional)......Page 249 Statistics in Action: Probability in a Reverse Cocaine Sting: Was Cocaine Really Sold?......Page 215 TI-83/TI-84 Plus Graphing Calculator: Discrete Random Variables and Probabilities......Page 259 Chapter 5 Continuous Random Variables......Page 262 5.1 Continuous Probability Distributions......Page 264 5.2 The Uniform Distribution......Page 265 5.3 The Normal Distribution......Page 269 5.4 Descriptive Methods for Assessing Normality......Page 283 5.5 Approximating a Binomial Distribution with a Normal Distribution (Optional)......Page 292 5.6 The Exponential Distribution (Optional)......Page 297 Statistics in Action: Super Weapons Development—Is the Hit Ratio Optimized?......Page 263 Using Technology: MINITAB: Continuous Random Variable Probabilities and Normal Probability Plots......Page 309 TI–83/TI–84 Plus Graphing Calculator: Normal Random Variable and Normal Probability Plots......Page 310 Chapter 6 Sampling Distributions......Page 312 6.1 The Concept of a Sampling Distribution......Page 314 6.2 Properties of Sampling Distributions: Unbiasedness and Minimum Variance......Page 321 6.3 The Sampling Distribution of x and the Central Limit Theorem......Page 325 6.4 The Sampling Distribution of the Sample Proportion......Page 334 Statistics in Action: The Insomnia Pill: Is It Effective?......Page 313 Using Technology: MINITAB: Simulating a Sampling Distribution......Page 343 Chapter 7 Inferences Based on a Single Sample: Estimation with Confidence Intervals......Page 344 Statistics in Action: Medicare Fraud Investigations......Page 345 7.2 Confidence Interval for a Population Mean: Normal (z) Statistic......Page 347 7.3 Confidence Interval for a Population Mean: Student’s t-Statistic......Page 357 7.4 Large-Sample Confidence Interval for a Population Proportion......Page 367 7.5 Determining the Sample Size......Page 374 7.6 Confidence Interval for a Population Variance (Optional)......Page 381 Using Technology: MINITAB: Confidence Intervals......Page 394 TI-83/TI-84 Plus Graphing Calculator: Confidence Intervals......Page 396 Chapter 8 Inferences Based on a Single Sample: Tests of Hypothesis......Page 398 Statistics in Action: Diary of a KLEENEX® User—How Many Tissues in a Box?......Page 399 8.2 Formulating Hypotheses and Setting Up the Rejection Region......Page 405 8.3 Observed Significance Levels:p-Values......Page 410 8.4 Test of Hypothesis about a Population Mean: Normal (z) Statistic......Page 415 8.5 Test of Hypothesis about a Population Mean: Student’s t-Statistic......Page 423 8.6 Large-Sample Test of Hypothesis about a Population Proportion......Page 430 8.7 Calculating Type II Error Probabilities: More about β (Optional)......Page 438 8.8 Test of Hypothesis about a Population Variance (Optional)......Page 447 Using Technology: MINITAB: Tests of Hypotheses......Page 460 TI-83/TI-84 Plus Graphing Calculator: Tests of Hypotheses......Page 461 Chapter 9 Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses......Page 463 Statistics in Action: ZixIt Corp. v. Visa USA Inc.—A Libel Case......Page 464 9.2 Comparing Two Population Means: Independent Sampling......Page 465 9.3 Comparing Two Population Means: Paired Difference Experiments......Page 483 9.4 Comparing Two Population Proportions: Independent Sampling......Page 495 9.5 Determining the Sample Size......Page 503 9.6 Comparing Two Population Variances: Independent Sampling (Optional)......Page 508 Using Technology: MINITAB: Two-Sample Inferences......Page 527 TI-83/TI-84 Plus Graphing Calculator: Two Sample Inferences......Page 528 Chapter 10 Analysis of Variance: Comparing More than Two Means......Page 532 10.1 Elements of a Designed Study......Page 534 10.2 The Completely Randomized Design: Single Factor......Page 541 10.3 Multiple Comparisons of Means......Page 558 10.4 The Randomized Block Design......Page 566 10.5 Factorial Experiments: Two Factors......Page 584 Statistics in Action: Voice versus Face Recognition—Does One Follow the Other?......Page 533 Using Technology: MINITAB: Analysis of Variance......Page 612 TI–83/TI–84 Plus Graphing Calculator: Analysis of Variance......Page 613 Chapter 11 Simple Linear Regression......Page 614 11.1 Probabilistic Models......Page 616 11.2 Fitting the Model: The Least Squares Approach......Page 620 11.3 Model Assumptions......Page 633 11.4 Assessing the Utility of the Model: Making Inferences about the Slope β1......Page 638 11.5 The Coefficients of Correlation and Determination......Page 647 11.6 Using the Model for Estimation and Prediction......Page 657 11.7 A Complete Example......Page 666 Statistics in Action: Can “Dowsers” Really Detect Water?......Page 615 Using Technology: MINITAB: Simple Linear Regression......Page 680 TI-83/TI-84 Plus Graphing Calculator: Simple Linear Regression......Page 681 Chapter 12 Multiple Regression and Model Building......Page 683 12.1 Multiple-Regression Models......Page 685 12.2 Estimating and Making Inferences about the β Parameters......Page 687 12.3 Evaluating Overall Model Utility......Page 694 12.4 Using the Model for Estimation and Prediction......Page 705 12.5 Interaction Models......Page 711 12.6 Quadratic and Other Higher Order Models......Page 718 12.7 Qualitative (Dummy) Variable Models......Page 728 12.8 Models with Both Quantitative and Qualitative Variables (Optional)......Page 736 12.9 Comparing Nested Models (Optional)......Page 746 12.10 Stepwise Regression (Optional)......Page 756 12.11 Residual Analysis: Checking the Regression Assumptions......Page 762 12.12 Some Pitfalls: Estimability, Multicollinearity, and Extrapolation......Page 776 Statistics in Action: Modeling Condominium Sales: What Factors Affect Auction Price?......Page 684 Using Technology: MINITAB: Multiple Regression......Page 798 TI-83/TI-84 Plus Graphing Calculator: Multiple Regression......Page 799 Chapter 13 Categorical Data Analysis......Page 801 13.1 Categorical Data and the Multinomial Experiment......Page 803 13.2 Testing Categorical Probabilities: One-Way Table......Page 804 13.3 Testing Categorical Probabilities: Two-Way (Contingency) Table......Page 812 13.4 A Word of Caution about Chi-Square Tests......Page 827 Statistics in Action: The Case of the Ghoulish Transplant Tissue......Page 802 Using Technology: MINITAB: Chi-Square Analyses......Page 837 TI-83/TI-84 Plus Graphing Calculator: Chi-Square Analyses......Page 838 Appendix A: Summation Notation......Page 839 Table XIII Critical Values of the Studentized Range, α = .01......Page 841 Appendix C: Calculation Formulas for Analysis of Variance......Page 863 Short Answers to Selected Odd-Numbered Exercises......Page 868 Index......Page 880 Credits......Page 886 Making Connections Using Data......Page 898 Back Cover......Page 900 For Courses In Introductory Statistics. A Contemporary Classic Classic, Yet Contemporary; Theoretical, Yet Applied--mcclave & Sincich's 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. Pearson Mylab Statistics Not Included. Students, If Pearson Mylab Statistics Is A Recommended/mandatory Component Of The Course, Please Ask Your Instructor For The Correct Isbn And Course Id. Pearson Mylab Statistics Should Only Be Purchased When Required By An Instructor. Instructors, Contact Your Pearson Representative For More Information. Pearson Mylab Statistics Is An Online Homework, Tutorial, And Assessment Product Designed To Personalize Learning And Improve Results. With A Wide Range Of Interactive, Engaging, And Assignable Activities, Students Are Encouraged To Actively Learn And Retain Tough Course Concepts. For courses in introductory statistics. Classic, yet contemporary; theoretical, yet applied—McClave & Sincich's 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. 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.