Statistics for Business and Economics, 1st edition

Published by Pearson (February 27, 2012) © 2013

  • William L. Carlson St. Olaf College
  • Betty Thorne
  • Paul Newbold
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For courses in Business Statistics.

A classic text for accuracy and statistical precision.

Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple “canned” applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions.

The eighth edition of this book has been revised and updated to provide students with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics.

Available with MyStatLab. MyStatLab courses use the rock solid Pearson MathXL technology for online tutorial and homework exercises that regenerate algorithmically for unlimited practice and mastery. MyStatLab courses also include essay questions that can be assigned for online tests and quizzes and other resources designed specifically to help students succeed in Statistics. Use this proven technology to help you and your students succeed. Visit mystatlab.com for more information.

Chapter 1: Describing Data: Graphical
Chapter 2: Describing Data: Numerical
Chapter 3: Probability
Chapter 4: Discrete Random Variables and Probability Distributions
Chapter 5: Continuous Random Variables and Probability Distributions
Chapter 6: Sampling and Sampling Distributions
Chapter 7: Estimation: Single Population
Chapter 8: Estimation: Additional Topics
Chapter 9: Hypothesis Testing: Single Population
Chapter 10: Hypothesis Testing: Additional Topics
Chapter 11: Simple Regression
Chapter 12: Multiple Regression
Chapter 13: Additional Topics in Regression Analysis
Chapter 14: Analysis of Categorical Data
Chapter 15: Analysis of Variance
Chapter 16: Time-Series Analysis and Forecasting
Chapter 17: Additional Topics in Sampling

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