Description

Book Synopsis


Table of Contents

* Indicates optional material.

** Indicates optional material on the WeissStats site.

PART I: INTRODUCTION
  • 1. The Nature of Statistics
    • Case Study: Top Films of All Time
    • 1.1 Statistics Basics
    • 1.2 Simple Random Sampling
    • 1.3 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 People
    • 2.1 Variables and Data
    • 2.2 Organizing Qualitative Data
    • 2.3 Organizing Quantitative Data
    • 2.4 Distribution Shapes
    • 2.5 Misleading Graphs*
    • Chapter in Review
    • Review Problems
    • Focusing on Data Analysis
    • Case Study Discussion
    • Biography
  • 3. Descriptive Measures
    • Case Study: The Beatles' Song Length
    • 3.1 Measures of Center
    • 3.2 Measures of Variation
    • 3.3 Chebyshev's Rule and the Empirical Rule*
    • 3.4 The Five-Number Summary; Boxplots
    • 3.5 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'em
    • 4.1 Probability Basics
    • 4.2 Events
    • 4.3 Some Rules of Probability
    • 4.4 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
    • Review Problems
    • Focusing on Data Analysis
    • Case Study Discussion
    • Biography
  • 5. Discrete Random Variables*
    • Case Study: Aces Wild on the Sixth at Oak Hill
    • 5.1 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 Militiamen
    • 6.1 Introducing Normally Distributed Variables
    • 6.2 Areas under the Standard Normal Curve
    • 6.3 Working with Normally Distributed Variables
    • 6.4 Assessing Normality; Normal Probability Plots
    • 6.5 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 Study
    • 7.1 Sampling Error; the Need for Sampling Distributions
    • 7.2 The Mean and Standard Deviation of the Sample Mean
    • 7.3 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 Analysis
    • 8.1 Estimating a Population Mean
    • 8.2 Confidence Intervals for One Population Mean When σ Is Known
    • 8.3 Confidence Intervals for One Population Mean When σ 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 Direction
    • 9.1 The Nature of Hypothesis Testing
    • 9.2 Critical-Value Approach to Hypothesis Testing
    • 9.3 P-Value Approach to Hypothesis Testing
    • 9.4 Hypothesis Tests for One Population Mean When σ Is Known
    • 9.5 Hypothesis Tests for One Population Mean When σ Is Unknown
    • 9.6 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 IQ
    • 10.1 The Sampling Distribution of the Difference between Two Sample Means for Independent Samples
    • 10.2 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal
    • 10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal
    • 10.4 The Mann - Whitney Test*
    • 10.5 Inferences for Two Population Means, Using Paired Samples
    • 10.6 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 Manufacturing
    • 11.1 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 Youths
    • 12.1 Confidence Intervals for One Population Proportion
    • 12.2 Hypothesis Tests for One Population Proportion
    • 12.3 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 Color
    • 13.1 The Chi-Square Distribution
    • 13.2 Chi-Square Goodness-of-Fit Test
    • 13.3 Contingency Tables; Association
    • 13.4 Chi-Square Independence Test
    • 13.5 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 Outcomes
    • 14.1 Linear Equations with One Independent Variable
    • 14.2 The Regression Equation
    • 14.3 The Coefficient of Determination
    • 14.4 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 Height
    • 15.1 The Regression Model; Analysis of Residuals
    • 15.2 Inferences for the Slope of the Population Regression Line
    • 15.3 Estimation and Prediction
    • 15.4 Inferences in Correlation
    • 15.5 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 Activity
    • 16.1 The F-Distribution
    • 16.2 One-Way ANOVA: The Logic
    • 16.3 One-Way ANOVA: The Procedure
    • 16.4 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 Rates
    • A.1 The Multiple Linear Regression Model
    • A.2 Estimation of the Regression Parameters
    • A.3 Inferences Concerning the Utility of the Regression Model
    • A.4 Inferences Concerning the Utility of Particular Predictor Variables
    • A.5 Confidence Intervals for Mean Response; Prediction Intervals for Response
    • A.6 Checking Model Assumptions and Residual Analysis
    • Module 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 Revisited
    • B.1 Transformations to Remedy Model Violations
    • B.2 Polynomial Regression Model
    • B.3 Qualitative Predictor
    • B.4 Multicollinearity
    • B.5 Model Selection: Stepwise Regression
    • B.6 Model Selection: All-Subsets Regression
    • B.7 Pitfalls and Warnings
    • Module 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 Designs
    • C.2 Two-Way ANOVA: The Logic
    • C.3 Two-Way ANOVA: The Procedure
    • C.4 Two-Way ANOVA: Multiple Comparisons
    • C.5 Randomized Block Designs
    • C.6 Randomized Block ANOVA: The Logic
    • C.7 Randomized Block ANOVA: The Procedure
    • C.8 Randomized Block ANOVA: Multiple Comparisons
    • C.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 Exercises Index Appendices
  • A: Statistical Tables
  • B: Answers to Selected Exercises
Index Photo Credits

* Indicates optional material.

** Indicates optional material on the WeissStats site.

Introductory Statistics MyLab Revision

    Product form

    £202.46

    Includes FREE delivery

    Order before 4pm tomorrow for delivery by Wed 1 Jul 2026.

    A Hardback by Neil Weiss

    Out of stock


      View other formats and editions of Introductory Statistics MyLab Revision by Neil Weiss

      Publisher: Pearson Education (US)
      Publication Date: 08/01/2019
      ISBN13: 9780135163054, 978-0135163054
      ISBN10: 0135163056
      Also in:
      Probability and statistics

      Description

      Book Synopsis


      Table of Contents

      * Indicates optional material.

      ** Indicates optional material on the WeissStats site.

      PART I: INTRODUCTION
      • 1. The Nature of Statistics
        • Case Study: Top Films of All Time
        • 1.1 Statistics Basics
        • 1.2 Simple Random Sampling
        • 1.3 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 People
        • 2.1 Variables and Data
        • 2.2 Organizing Qualitative Data
        • 2.3 Organizing Quantitative Data
        • 2.4 Distribution Shapes
        • 2.5 Misleading Graphs*
        • Chapter in Review
        • Review Problems
        • Focusing on Data Analysis
        • Case Study Discussion
        • Biography
      • 3. Descriptive Measures
        • Case Study: The Beatles' Song Length
        • 3.1 Measures of Center
        • 3.2 Measures of Variation
        • 3.3 Chebyshev's Rule and the Empirical Rule*
        • 3.4 The Five-Number Summary; Boxplots
        • 3.5 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'em
        • 4.1 Probability Basics
        • 4.2 Events
        • 4.3 Some Rules of Probability
        • 4.4 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
        • Review Problems
        • Focusing on Data Analysis
        • Case Study Discussion
        • Biography
      • 5. Discrete Random Variables*
        • Case Study: Aces Wild on the Sixth at Oak Hill
        • 5.1 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 Militiamen
        • 6.1 Introducing Normally Distributed Variables
        • 6.2 Areas under the Standard Normal Curve
        • 6.3 Working with Normally Distributed Variables
        • 6.4 Assessing Normality; Normal Probability Plots
        • 6.5 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 Study
        • 7.1 Sampling Error; the Need for Sampling Distributions
        • 7.2 The Mean and Standard Deviation of the Sample Mean
        • 7.3 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 Analysis
        • 8.1 Estimating a Population Mean
        • 8.2 Confidence Intervals for One Population Mean When σ Is Known
        • 8.3 Confidence Intervals for One Population Mean When σ 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 Direction
        • 9.1 The Nature of Hypothesis Testing
        • 9.2 Critical-Value Approach to Hypothesis Testing
        • 9.3 P-Value Approach to Hypothesis Testing
        • 9.4 Hypothesis Tests for One Population Mean When σ Is Known
        • 9.5 Hypothesis Tests for One Population Mean When σ Is Unknown
        • 9.6 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 IQ
        • 10.1 The Sampling Distribution of the Difference between Two Sample Means for Independent Samples
        • 10.2 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal
        • 10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal
        • 10.4 The Mann - Whitney Test*
        • 10.5 Inferences for Two Population Means, Using Paired Samples
        • 10.6 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 Manufacturing
        • 11.1 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 Youths
        • 12.1 Confidence Intervals for One Population Proportion
        • 12.2 Hypothesis Tests for One Population Proportion
        • 12.3 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 Color
        • 13.1 The Chi-Square Distribution
        • 13.2 Chi-Square Goodness-of-Fit Test
        • 13.3 Contingency Tables; Association
        • 13.4 Chi-Square Independence Test
        • 13.5 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 Outcomes
        • 14.1 Linear Equations with One Independent Variable
        • 14.2 The Regression Equation
        • 14.3 The Coefficient of Determination
        • 14.4 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 Height
        • 15.1 The Regression Model; Analysis of Residuals
        • 15.2 Inferences for the Slope of the Population Regression Line
        • 15.3 Estimation and Prediction
        • 15.4 Inferences in Correlation
        • 15.5 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 Activity
        • 16.1 The F-Distribution
        • 16.2 One-Way ANOVA: The Logic
        • 16.3 One-Way ANOVA: The Procedure
        • 16.4 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 Rates
        • A.1 The Multiple Linear Regression Model
        • A.2 Estimation of the Regression Parameters
        • A.3 Inferences Concerning the Utility of the Regression Model
        • A.4 Inferences Concerning the Utility of Particular Predictor Variables
        • A.5 Confidence Intervals for Mean Response; Prediction Intervals for Response
        • A.6 Checking Model Assumptions and Residual Analysis
        • Module 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 Revisited
        • B.1 Transformations to Remedy Model Violations
        • B.2 Polynomial Regression Model
        • B.3 Qualitative Predictor
        • B.4 Multicollinearity
        • B.5 Model Selection: Stepwise Regression
        • B.6 Model Selection: All-Subsets Regression
        • B.7 Pitfalls and Warnings
        • Module 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 Designs
        • C.2 Two-Way ANOVA: The Logic
        • C.3 Two-Way ANOVA: The Procedure
        • C.4 Two-Way ANOVA: Multiple Comparisons
        • C.5 Randomized Block Designs
        • C.6 Randomized Block ANOVA: The Logic
        • C.7 Randomized Block ANOVA: The Procedure
        • C.8 Randomized Block ANOVA: Multiple Comparisons
        • C.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 Exercises Index Appendices
      • A: Statistical Tables
      • B: Answers to Selected Exercises
      Index Photo Credits

      * Indicates optional material.

      ** Indicates optional material on the WeissStats site.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account