I'm a studentI'm an educator

Business Statistics: A First Course, 8th edition

Published by Pearson (July 15, 2020) © 2020

  • David M. Levine Baruch College, City University of New York
  • David F. Stephan Two Bridges Instructional Technology
  • Kathryn A. Szabat La Salle University

Pearson+ subscription

per month
-month term, pay monthly or pay
Buy nowOpens in a new tab
Instant access
ISBN-13: 9780136880974
Business Statistics: A First Course
Published 2020

eTextbook features

  • Instant access to eTextbook
  • Search, highlight, and notes
  • Create flashcards
Products list
$175.99

Price Reduced From: $219.99

Free delivery

Details

  • Loose-leaf, 3-hole-punched pages
  • Free shipping
Products list
$119.99
Buy accessOpens in a new tab
14 day temporary access available

Access details

  • Pearson+ eTextbook with study tools
  • Instant access once purchased
  • Register with a Course ID, a link from your instructor or an LMS link (Blackboard™, Canvas™, Moodle or D2L®)

Features

  • Interactive digital learning experience
  • Help when and where you need it
  • Instant feedback on assignments
  • Apps and study tools

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.

  • 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

This publication contains markup to enable structural navigation and compatibility with assistive technologies. Images in the publication are fully described. The publication supports text reflow, is screen-reader friendly, and contains no content hazards known to cause adverse physical reactions.

Need help? Get in touch