Published by Pearson (August 9, 2023) © 2024
David Groebner | Patrick Shannon | Phillip FryBusiness Statistics: A Decision-Making Approach, 11th Edition, is an introductory text for students who do not necessarily have an extensive mathematics background but who need to understand how statistical tools and techniques are applied in business decision making. Concepts and techniques presented in a systematic and ordered way make this text accessible to all students. The authors draw from their years of experience as consultants, educators, and writers to show the relevance of statistical techniques in realistic situations through engaging examples.
This text seamlessly integrates computer applications, such as Microsoft Excel and XLSTAT, with textual examples and figures, always focusing on interpreting the output. The goal is for students to be able to know which tools to use, how to apply the tools, and how to analyze results for making decisions.
- The Where, Why, and How of Data
- Graphs, Charts, and Tables: Describing Your Data
- Describing Data Using Numerical Measures
1 - 3 SPECIAL REVIEW SECTION
- Introduction to Probability
- Discrete Probability Distributions
- Introduction to Continuous Probability Distributions
- Introduction to Sampling Distributions
- Estimating Single Population Parameters
- Introduction to Hypothesis Testing
- Estimation and Hypothesis Testing for Two Population Parameters
- Hypothesis Tests and Estimation for Population Variances
- Analysis of Variance
8 - 12 SPECIAL REVIEW SECTION
- Goodness-of-Fit Tests and Contingency Analysis
- Introduction to Linear Regression and Correlation Analysis
- Multiple Regression Analysis and Model Building
- Analyzing and Forecasting Time-Series Data
- Introduction to Nonparametric Statistics
- Introducing Business Analytics
- Introduction to Decision Analysis (Online)
- Introduction to Quality and Statistical Process Control (Online)