Introductory Statistics, MyLab Revision, Global Edition, 10th edition

Published by Pearson (November 23, 2016) © 2017

  • Neil A. Weiss Arizona State University
Products list
Products list

This product is expected to ship within 5-7 business days for Australian customers.

Weiss’s Introductory Statistics, 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.

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.

  • 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

Need help? Get in touch