Basic Business Statistics: Concepts and Applications, 14th edition

Published by Pearson (December 11, 2020) © 2019

  • Mark L. Berenson Zicklin School of Business, City University of New York; Montclair State University
  • David M. Levine Baruch College, City University of New York
  • Kathryn A. Szabat La Salle University
  • David F. Stephan Two Bridges Instructional Technology
Products list

eTextbook features

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

Details

  • Loose-leaf, 3-hole-punched pages
Products list

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

Basic Business Statistics shows you the essential role statistics will play in your future career by using examples drawn from all functional areas of real-world business. The text is guided by principles set forth by the ASA's Guidelines for Assessment and Instruction (GAISE) reports and the authors' diverse teaching experiences.

The 14th Edition includes new and updated resources and tools to enhance your understanding, and provides the best framework for learning statistical concepts.

  • First Things First (online)
  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 and Other Continuous Distributions
  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)

Need help? Get in touch