Statistics for Business
Decision Making and Analysis
by Robert Stine, Dean Foster
3rd Edition
Publisher: Pearson
Book Details
| Print ISBN | 9780134497167 |
| eText ISBN | 9780134587448 |
| Publisher | Pearson |
| Publishing Year | 2018 |
| Edition | 3rd Edition |
| Language | English |
| Pages | 912 |
Statistics for Business: Decision Making and Analysis, 3rd Edition, is an introductory business statistics textbook designed for one- and two-semester courses. The text focuses on how to work with data to inform organizational decision-making.
The volume addresses fundamental topics including data variation, probability concepts, statistical inference, and regression models. Students explore categorical and numerical data, sampling, confidence intervals, statistical tests, and time series.
To structure analytical thinking, the textbook incorporates the 4M Analytics decision-making framework centered on motivation, method, mechanics, and message. This structure illustrates how business contexts initiate statistical processes and how conclusions guide practical action.
Table of Contents
Chapter 1: Introduction
Chapter 2: Data
Chapter 3: Describing Categorical Data
Chapter 4: Describing Numerical Data
Chapter 5: Association Between Categorical Variables
Chapter 6: Association Between Quantitative Variables
Chapter 7: Probability
Chapter 8: Conditional Probability
Chapter 9: Random Variables
Chapter 10: Association Between Random Variables
Chapter 11: Probability Models for Counts
Chapter 12: The Normal Probability Model
Chapter 13: Samples and Surveys
Chapter 14: Sampling Variation and Quality
Chapter 15: Confidence Intervals
Chapter 16: Statistical Tests
Chapter 17: Comparison
Chapter 18: Inference for Counts
Chapter 19: Linear Patterns
Chapter 20: Curved Patterns
Chapter 21: The Simple Regression Model
Chapter 22: Regression Diagnostics
Chapter 23: Multiple Regression
Chapter 24: Building Regression Models
Chapter 25: Categorical Explanatory Variables
Chapter 26: Analysis of Variance
Chapter 27: Time Series
Chapter Supplementary Material (Online-Only): Supplementary Material (Online-Only)
- • Alternative Approaches to Inference
- • Two-Way Analysis of Variance
- • Regression with Big Data
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