Description

Book Synopsis

About our author

The late Neil A. Weiss received his Ph.D. from UCLA and subsequently accepted an assistant professor position at Arizona State University (ASU), where he was ultimately promoted to the rank of full professor. Dr. Weiss taught statistics, probability, and mathematics, from the freshman level to the advanced graduate level, for more than 30 years.

In recognition of his excellence in teaching, Dr. Weiss received the Dean's Quality Teaching Award from the ASU College of Liberal Arts and Sciences. He also was runner-up twice for the Charles Wexler Teaching Award in the ASU School of Mathematical and Statistical Sciences. Dr. Weiss's comprehensive knowledge and experience ensure that his texts are mathematically and statistically accurate, as well as pedagogically sound.

In addition to his numerous research publications, Dr. Weiss was the author of A Course in Probability (Addison-Wesley, 2006). He also

Table of Contents

  • PART I: Introduction
  • 1. The Nature of Statistics
  • PART II: Descriptive Statistics
  • 2. Organizing Data
  • 3. Descriptive Measures
  • PART III: Probability, Random Variables, and Sampling Distributions
  • 4. Probability Concepts
  • 5. Discrete Random Variables
  • 6. The Normal Distribution
  • 7. The Sampling Distribution of the Sample Mean
  • PART IV: Inferential Statistics
  • 8. Confidence Intervals for One Population Mean
  • 9. Hypothesis Tests for One Population Mean
  • 10. Inferences for Two Population Means
  • 11. Inferences for Population Standard Deviations
  • 12. Inferences for Population Proportions
  • 13. Chi-Square Procedures
  • PART V: Regression, Correlation, and ANOVA
  • 14. Descriptive Methods in Regression and Correlation
  • 15. Inferential Methods in Regression and Correlation
  • 16. Analysis of Variance (ANOVA)
  • PART VI: Multiple Regression and Model Building; Experimental Design and ANOVA
  • MODULE A: Multiple Regression Analysis
  • MODULE B: Model Building in Regression
  • MODULE C: Design of Experiments and Analysis of Variance
  • Answers to Selected Exercises
  • Index
  • Appendix A: Statistical Tables
  • Appendix B: Answers to Selected Exercises

Introductory Statistics MyLab Revision Global

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    A Paperback by Neil A. Weiss

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

      Publisher: Pearson Education
      Publication Date: 10/10/2016 12:00:00 AM
      ISBN13: 9781292099729, 978-1292099729
      ISBN10: 1292099720

      Description

      Book Synopsis

      About our author

      The late Neil A. Weiss received his Ph.D. from UCLA and subsequently accepted an assistant professor position at Arizona State University (ASU), where he was ultimately promoted to the rank of full professor. Dr. Weiss taught statistics, probability, and mathematics, from the freshman level to the advanced graduate level, for more than 30 years.

      In recognition of his excellence in teaching, Dr. Weiss received the Dean's Quality Teaching Award from the ASU College of Liberal Arts and Sciences. He also was runner-up twice for the Charles Wexler Teaching Award in the ASU School of Mathematical and Statistical Sciences. Dr. Weiss's comprehensive knowledge and experience ensure that his texts are mathematically and statistically accurate, as well as pedagogically sound.

      In addition to his numerous research publications, Dr. Weiss was the author of A Course in Probability (Addison-Wesley, 2006). He also

      Table of Contents

      • PART I: Introduction
      • 1. The Nature of Statistics
      • PART II: Descriptive Statistics
      • 2. Organizing Data
      • 3. Descriptive Measures
      • PART III: Probability, Random Variables, and Sampling Distributions
      • 4. Probability Concepts
      • 5. Discrete Random Variables
      • 6. The Normal Distribution
      • 7. The Sampling Distribution of the Sample Mean
      • PART IV: Inferential Statistics
      • 8. Confidence Intervals for One Population Mean
      • 9. Hypothesis Tests for One Population Mean
      • 10. Inferences for Two Population Means
      • 11. Inferences for Population Standard Deviations
      • 12. Inferences for Population Proportions
      • 13. Chi-Square Procedures
      • PART V: Regression, Correlation, and ANOVA
      • 14. Descriptive Methods in Regression and Correlation
      • 15. Inferential Methods in Regression and Correlation
      • 16. Analysis of Variance (ANOVA)
      • PART VI: Multiple Regression and Model Building; Experimental Design and ANOVA
      • MODULE A: Multiple Regression Analysis
      • MODULE B: Model Building in Regression
      • MODULE C: Design of Experiments and Analysis of Variance
      • Answers to Selected Exercises
      • Index
      • Appendix A: Statistical Tables
      • Appendix B: Answers to Selected Exercises

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