Pearson+

Business Statistics: A First Course, 8th edition

  • David M. Levine
  • , David F. Stephan
  • , Kathryn A. Szabat
loading

  • Watch and learn
    Watch and learn

    Videos & animations bring concepts to life

  • Listen on the go
    Listen on the go

    Learn how you like with full eTextbook audio

  • Find it fast
    Find it fast

    Quickly navigate your eTextbook with search

  • Stay organized
    Stay organized

    Access all your eTextbooks in one place

  • Easily continue access
    Easily continue access

    Keep learning with auto-renew

Business Statistics: A First Course shows you the role statistics will play in your career by providing examples drawn from all functional areas of business. The text is guided by principles set forth by major stat and business science associations (ASA and DSI) while also drawing on the authors' diverse experiences.

The 8th Edition features all new examples, cases and problems. It also continues its focus on the interpretation of results, evaluation of assumptions, and discussion of next steps that lead to optimal data-based decision making. The authors feel that this approach, rather than a focus on manual calculations, will best serve you in your future career.

Published by Pearson (July 15th 2020) - Copyright © 2020

ISBN-13: 9780136880974

Subject: Advanced Statistics

Category: Introduction to Business Statistics

  • First Things First
  1. Defining and Collecting Data
  2. Organizing and Visualizing Variables
  3. Numerical Descriptive Measures
  4. Basic Probability
  5. Discrete Probability Distributions
  6. The Normal Distribution
  7. Sampling Distributions
  8. Confidence Interval Estimation
  9. Fundamentals of Hypothesis Testing: One-Sample Tests
  10. Two-Sample Tests
  11. Analysis of Variance
  12. Chi-Square and Nonparametric Tests
  13. Simple Linear Regression
  14. Introduction to Multiple Regression
  15. Multiple Regression Model Building
  16. Time-Series Forecasting
  17. Business Analytics
  18. Getting Ready to Analyze Data in the Future
  19. Statistical Applications in Quality Management (online)
  20. Decision Making (online)

Self-Test Solutions and Answers to Selected Even-Numbered Problems