Business Statistics : A Decision-Making Approach / David F. Groebner, Patrick W. Shannon and Phillip C. Fry

It includes Appendices, Answers, References, Glossary and index pages.

Gain an edge in today’s workplace by applying statistical analysis skills to real-world decision-making.

Business Statistics: A Decision Making Approach provides students with an introduction to business statistics and to the analysis skills and techniques needed to make successful real-world business decisions. Written for students of all mathematical skill levels, the authors present concepts in a systematic and ordered way, drawing from their own experience as educators and consultants. Rooted in the theme that data are the starting point, Business Statistics champions the need to use and understand different types of data and data sources to be effective decision makers. This new edition integrates Microsoft Excel throughout as a way to work with statistical concepts and give students a resource that can be used in both their academic and professional careers.

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MyLab™ Statistics is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.
Table of Contents

The Where, Why, and How of Data Collection

Graphs, Charts, and Tables–Describing Your Data

Describing Data Using Numerical Measures

Chapters 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

Chapters 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

(Online Only) Introduction to Decision Analysis
(Online Only) Introduction to Quality and Statistical Process Control