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Introductory Statistics, Global Edition (10th edition)

Introductory Statistics, Global Edition (10th edition)

By: Neil A. Weiss (author)Paperback

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Description

Statistically SignificantWeiss's Introductory Statistics, Tenth Edition, is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. Comprehensive in its coverage, Weiss's meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and over 3,000 exercises, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical understanding. This text contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two. MyStatLab not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.MyStatLab 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.

Contents

PART I: Introduction 1. The Nature of Statistics Case Study: Top Films of All Time1.1 Statistics Basics1.2 Simple Random Sampling1.3 Other Sampling Designs? 1.4 Experimental Designs? Chapter in Review Review Problems Focusing on Data Analysis Case Study Discussion Biography PART II: Descriptive Statistics 2. Organizing Data Case Study: World's Richest People2.1 Variables and Data2.2 Organizing Qualitative Data2.3 Organizing Quantitative Data2.4 Distribution Shapes2.5 Misleading Graphs? Chapter in Review Review Problems Focusing on Data Analysis Case Study Discussion Biography 3. Descriptive Measures Case Study: The Beatles' Song Length3.1 Measures of Center3.2 Measures of Variation3.3 Chebyshev's Rule and the Empirical Rule? 3.4 The Five-Number Summary; Boxplots3.5 Descriptive Measures for Populations; Use of Samples Chapter in Review Review Problems Focusing on Data Analysis Case Study Discussion Biography PART III: Probability, Random Variables, and Sampling Distributions 4. Probability Concepts Case Study: Texas Hold'em4.1 Probability Basics4.2 Events4.3 Some Rules of Probability4.4 Contingency Tables; Joint and Marginal Probabilities? 4.5 Conditional Probability? 4.6 The Multiplication Rule; Independence? 4.7 Bayes's Rule? 4.8 Counting Rules? Chapter in Review 218 Review Problems Focusing on Data Analysis Case Study Discussion Biography 5. Discrete Random Variables? Case Study: Aces Wild on the Sixth at Oak Hill5.1 Discrete Random Variables and Probability Distributions? 5.2 The Mean and Standard Deviation of a Discrete Random Variable? 5.3 The Binomial Distribution? 5.4 The Poisson Distribution? Chapter in Review Review Problems Focusing on Data Analysis Case Study Discussion Biography 6. The Normal Distribution Case Study: Chest Sizes of Scottish Militiamen6.1 Introducing Normally Distributed Variables6.2 Areas under the Standard Normal Curve6.3 Working with Normally Distributed Variables6.4 Assessing Normality; Normal Probability Plots6.5 Normal Approximation to the Binomial Distribution? Chapter in Review Review Problems Focusing on Data Analysis Case Study Discussion Biography 7. The Sampling Distribution of the Sample Mean Case Study: The Chesapeake and Ohio Freight Study7.1 Sampling Error; the Need for Sampling Distributions7.2 The Mean and Standard Deviation of the Sample Mean7.3 The Sampling Distribution of the Sample Mean Chapter in Review Review Problems Focusing on Data Analysis Case Study Discussion Biography PART IV: Inferential Statistics 8. Confidence Intervals for One Population Mean Case Study: Bank Robberies: A Statistical Analysis8.1 Estimating a Population Mean8.2 Confidence Intervals for One Population Mean When ? Is Known8.3 Confidence Intervals for One Population Mean When ? Is Unknown Chapter in Review Review Problems Focusing on Data Analysis Case Study Discussion Biography 9. Hypothesis Tests for One Population Mean Case Study: Gender and Sense of Direction9.1 The Nature of Hypothesis Testing9.2 Critical-Value Approach to Hypothesis Testing9.3 P-Value Approach to Hypothesis Testing9.4 Hypothesis Tests for One Population Mean When ? Is Known9.5 Hypothesis Tests for One Population Mean When ? Is Unknown9.6 The Wilcoxon Signed-Rank Test? 9.7 Type II Error Probabilities; Power? 9.8 Which Procedure Should Be Used?? ? Chapter in Review Review Problems Focusing on Data Analysis Case Study Discussion Biography 10. Inferences for Two Population Means Case Study: Dexamethasone Therapy and IQ10.1 The Sampling Distribution of the Difference between Two Sample Means for Independent Samples10.2 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal10.4 The Mann-Whitney Test? 10.5 Inferences for Two Population Means, Using Paired Samples10.6 The Paired Wilcoxon Signed-Rank Test? 10.7 Which Procedure Should Be Used?? ? Chapter in Review Review Problems Focusing on Data Analysis Case Study Discussion Biography 11. Inferences for Population Standard Deviations? Case Study: Speaker Woofer Driver Manufacturing11.1 Inferences for One Population Standard Deviation? 11.2 Inferences for Two Population Standard Deviations, Using Independent Samples? Chapter in Review Review Problems Focusing on Data Analysis Case Study Discussion Biography 12. Inferences for Population Proportions Case Study: Arrested Youths12.1 Confidence Intervals for One Population Proportion12.2 Hypothesis Tests for One Population Proportion12.3 Inferences for Two Population Proportions Chapter in Review Review Problems Focusing on Data Analysis Case Study Discussion Biography 13. Chi-Square Procedures Case Study: Eye and Hair Color13.1 The Chi-Square Distribution13.2 Chi-Square Goodness-of-Fit Test13.3 Contingency Tables; Association13.4 Chi-Square Independence Test13.5 Chi-Square Homogeneity Test Chapter in Review Review Problems Focusing on Data Analysis Case Study Discussion Biography PART V: Regression, Correlation, and ANOVA 14. Descriptive Methods in Regression and Correlation Case Study: Healthcare: Spending and Outcomes14.1 Linear Equations with One Independent Variable14.2 The Regression Equation14.3 The Coefficient of Determination14.4 Linear Correlation Chapter in Review Review Problems Focusing on Data Analysis Case Study Discussion Biography 15. Inferential Methods in Regression and Correlation Case Study: Shoe Size and Height15.1 The Regression Model; Analysis of Residuals15.2 Inferences for the Slope of the Population Regression Line15.3 Estimation and Prediction15.4 Inferences in Correlation15.5 Testing for Normality? ? Chapter in Review Review Problems Focusing on Data Analysis Case Study Discussion Biography 16. Analysis of Variance (ANOVA) Case Study: Self-Perception and Physical Activity16.1 The F-Distribution16.2 One-Way ANOVA: The Logic16.3 One-Way ANOVA: The Procedure16.4 Multiple Comparisons? 16.5 The Kruskal-Wallis Test? Chapter in Review Review Problems Focusing on Data Analysis Case Study Discussion Biography PART VI: Multiple Regression and Model Building; Experimental Design and ANOVA? ? MODULE A: Multiple Regression Analysis Case Study: Automobile Insurance RatesA.1 The Multiple Linear Regression ModelA.2 Estimation of the Regression ParametersA.3 Inferences Concerning the Utility of the Regression ModelA.4 Inferences Concerning the Utility of Particular Predictor VariablesA.5 Confidence Intervals for Mean Response; Prediction Intervals for ResponseA.6 Checking Model Assumptions and Residual AnalysisModule in Review Review Problems Focusing on Data Analysis Case Study Discussion Answers to Selected Exercises Index MODULE B: Model Building in Regression Case Study: Automobile Insurance Rates-RevisitedB.1 Transformations to Remedy Model ViolationsB.2 Polynomial Regression ModelB.3 Qualitative PredictorB.4 MulticollinearityB.5 Model Selection: Stepwise RegressionB.6 Model Selection: All-Subsets RegressionB.7 Pitfalls and WarningsModule in Review Review Problems Focusing on Data Analysis Case Study Discussion Answers to Selected Exercises Index MODULE C: Design of Experiments and Analysis of Variance Case Study: Dental Hygiene: Which Toothbrush?C.1 Factorial DesignsC.2 Two-Way ANOVA: The LogicC.3 Two-Way ANOVA: The ProcedureC.4 Two-Way ANOVA: Multiple ComparisonsC.5 Randomized Block DesignsC.6 Randomized Block ANOVA: The LogicC.7 Randomized Block ANOVA: The ProcedureC.8 Randomized Block ANOVA: Multiple ComparisonsC.9 Friedman's Nonparametric Test for the Randomized Block Design Module in Review Review Problems Focusing on Data Analysis Case Study Discussion Answers to Selected ExercisesIndexAppendix A: Statistical TablesAppendix B: Answers to Selected ExercisesIndexPhoto Credits ? Indicates optional material.? ? Indicates optional material on the WeissStats site.

Product Details

  • ISBN13: 9781292099729
  • Format: Paperback
  • Number Of Pages: 856
  • ID: 9781292099729
  • weight: 1670
  • ISBN10: 1292099720
  • edition: 10th edition

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