I'm a studentI'm an educator

Statistics for Business and Economics, 14th edition

Published by Pearson (July 13, 2021) © 2022

  • James T. McClave University of Florida
  • P George Benson
  • Terry T Sincich University of South Florida
Products list
per month
-month term, pay monthly or pay
Buy nowOpens in a new tab
Instant access

eTextbook features

  • Instant access to eTextbook
  • Search, highlight, and notes
  • Create flashcards
Products list
$79.99
Rent nowOpens in a new tab

Details

  • A print text you can rent
  • Fulfilled by eCampus.com
  • Option to keep after rental expires
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

Statistics for Business and Economics, 14th Edition introduces statistics in the context of real data, real decisions and real business. The authors highlight the discussion of ethical, data-driven decision making and apply concepts with real data. Inference is emphasized, with extensive coverage of data collection and analysis as needed to evaluate the reported results of statistical studies and make good decisions. Technology is used to help you develop statistical thinking, and to understand the assessment of credibility and value of the inferences made from data by those who consume and by those who produce them.

  1. Statistics, Data, and Statistical Thinking
  2. Methods for Describing Sets of Data
  3. Probability
  4. Random Variables and Probability Distributions
  5. Sampling Distributions
  6. Inferences Based on a Single Sample: Estimation with Confidence Intervals
  7. Inferences Based on a Single Sample: Tests of Hypotheses
  8. Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses
  9. Design of Experiments and Analysis of Variance
  10. Categorical Data Analysis
  11. Simple Linear Regression
  12. Multiple Regression and Model Building
  13. Methods for Quality Improvement: Statistical Process Control (Available Online)
  14. Time Series: Descriptive Analyses, Models, and Forecasting (Available Online)
  15. Nonparametric Statistics (Available Online)

Appendices

  1. Summation Notation
  2. Basic Counting Rules
  3. Calculation Formulas for Analysis of Variance
    • C.1 Formulas for the Calculations in the Completely Randomized Design
    • C.2 Formulas for the Calculations in the Randomized Block Design
    • C.3 Formulas for the Calculations for a Two-Factor Factorial Experiment
    • C.4 Tukey's Multiple Comparisons Procedure (Equal Sample Sizes)
    • C.5 Bonferroni Multiple Comparisons Procedure (Pairwise Comparisons)
    • C.6 Scheffé's Multiple Comparisons Procedure (Pairwise Comparisons)
  4. Tables

Answers to Selected Exercises

Index

Credits

Need help? Get in touch