Business 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)
APPENDICES A to P
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