Description

Book Synopsis


Table of Contents

1. Statistics, Data, and Statistical Thinking

2. Methods for Describing Sets of Data

3. Probability

4. Random Variables and Probability Distributions

5. Sampling Distributions

6. Inferences Based on a Single Sample: Estimation with ConfidenceIntervals

7. Inferences Based on a Single Sample: Tests of Hypotheses

8. Inferences Based on Two Samples: Confidence Intervals and Testsof Hypotheses

9. Design of Experiments and Analysis of Variance

10. Categorical Data Analysis

11. Simple Linear Regression

12. Multiple Regression and Model Building

13. Methods for Quality Improvement: Statistical Process Control(Available Online)

14. Time Series: Descriptive Analyses, Models, and Forecasting(Available Online)

15. Nonparametric Statistics (Available Online)

Appendix A: Summation Notation

Appendix B: Basic Counting Rules

Appendix C: Calculation Formulas for Analysis of Variance

C.1 Formulas for the Calculationsin the Completely Randomized Design

C.2 Formulas for the Calculationsin the Randomized Block Design

C.3 Formulas for the Calculationsfor a Two-Factor Factorial Experiment

C.4 Tukey's Multiple ComparisonsProcedure (Equal Sample Sizes)

C.5 Bonferroni MultipleComparisons Procedure (Pairwise Comparisons)

C.6 Scheffé's MultipleComparisons Procedure (Pairwise Comparisons)

Appendix D: Tables

Answers to Selected Exercises

Index

Credits

Statistics for Business Economics Global Edition

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    A Paperback by James T. McClave, P. Benson, Terry Sincich

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      View other formats and editions of Statistics for Business Economics Global Edition by James T. McClave

      Publisher: Pearson Education
      Publication Date: 11/24/2021 12:00:00 AM
      ISBN13: 9781292413396, 978-1292413396
      ISBN10: 1292413395

      Description

      Book Synopsis


      Table of Contents

      1. Statistics, Data, and Statistical Thinking

      2. Methods for Describing Sets of Data

      3. Probability

      4. Random Variables and Probability Distributions

      5. Sampling Distributions

      6. Inferences Based on a Single Sample: Estimation with ConfidenceIntervals

      7. Inferences Based on a Single Sample: Tests of Hypotheses

      8. Inferences Based on Two Samples: Confidence Intervals and Testsof Hypotheses

      9. Design of Experiments and Analysis of Variance

      10. Categorical Data Analysis

      11. Simple Linear Regression

      12. Multiple Regression and Model Building

      13. Methods for Quality Improvement: Statistical Process Control(Available Online)

      14. Time Series: Descriptive Analyses, Models, and Forecasting(Available Online)

      15. Nonparametric Statistics (Available Online)

      Appendix A: Summation Notation

      Appendix B: Basic Counting Rules

      Appendix C: Calculation Formulas for Analysis of Variance

      C.1 Formulas for the Calculationsin the Completely Randomized Design

      C.2 Formulas for the Calculationsin the Randomized Block Design

      C.3 Formulas for the Calculationsfor a Two-Factor Factorial Experiment

      C.4 Tukey's Multiple ComparisonsProcedure (Equal Sample Sizes)

      C.5 Bonferroni MultipleComparisons Procedure (Pairwise Comparisons)

      C.6 Scheffé's MultipleComparisons Procedure (Pairwise Comparisons)

      Appendix D: Tables

      Answers to Selected Exercises

      Index

      Credits

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