Statistics for Business and Economics, Global Edition, 10th edition

Published by Pearson (2 August 2024) © 2024

  • Paul Newbold
  • William L. Carlson St. Olaf College
  • Betty Thorne
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Products list

Access details

  • Instant access once purchased
  • Offline access via app

Features

  • Learn with videos and interactives*
  • Highlight-to-translate in 100+ languages
  • Practice with quizzes and flashcards
  • AI-powered study support*

*Available for some titles

Products list

Access details

  • Instant access once purchased
  • Offline access via app

Features

  • Learn with videos and interactives*
  • Highlight-to-translate in 100+ languages
  • Practice with quizzes and flashcards
  • AI-powered study support*

*Available for some titles

Title overview

Statistics for Business and Economics, Global Edition equips students with the statistical knowledge and analytical skills needed to make informed business and economic decisions. Designed for learners seeking a deeper understanding of applied statistics, the text moves beyond basic calculations to help students develop the ability to interpret data, evaluate evidence, and solve real-world problems. Clear explanations, practical examples, and a rigorous approach to statistical reasoning provide a strong foundation for future careers in business, economics, management, and data-driven decision making.

Using authentic datasets, case studies, and business-focused applications, the text demonstrates how statistical methods are used by organisations and researchers to analyse trends, assess performance, and support strategic decisions. Students gain hands-on experience with descriptive statistics, probability, regression analysis, forecasting, hypothesis testing, and other essential techniques while developing the confidence to apply statistical thinking in professional contexts. Real-world scenarios, diverse problem sets, and research-based exercises encourage critical thinking and help bridge the gap between theory and practice.

Samples

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Table of contents

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

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