Basic Business Statistics, Global Edition, 14th edition

Published by Pearson (March 13, 2019) © 2020

  • 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

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Access details

  • Instant access once purchased
  • Fulfilled by VitalSource
  • For titles accompanied by MyLab/Mastering, this eBook does NOT include access to the platform

Features

  • Add notes and highlights
  • Search by keyword or page

Title overview

For one- or-two-semester courses in business statistics.

Give students the statistical foundation to hone their analysis skills for real-world decisions

Basic Business Statisticshelps students see the essential role that statistics will play in their future careers by using examples drawn from all functional areas of real-world business. Guided by principles set forth by ASA’s Guidelines for Assessment and Instruction (GAISE) reports and the authors’ diverse teaching experiences, the text continues to innovate and improve the way this course is taught to students. The14th Editionincludes new and updated resources and tools to enhance students’ understanding, and provides the best framework for learning statistical concepts.

Table of contents

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

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