Description

By (author) Groebner, David F.; By (author) Shannon Patrick; By (author) Fry, Phillip C.

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.

Table of contents
The Where, Why, and How of Data CollectionGraphs, Charts, and Tables–Describing Your DataDescribing Data Using Numerical MeasuresIntroduction to ProbabilityDiscrete Probability DistributionsIntroduction to Continuous Probability DistributionsIntroduction to Sampling DistributionsEstimating Single Population ParametersIntroduction to Hypothesis TestingEstimation and Hypothesis Testing for Two Population ParametersHypothesis Tests and Estimation for Population VariancesAnalysis of VarianceGoodness-of-Fit Tests and Contingency AnalysisIntroduction to Linear Regression and Correlation AnalysisMultiple Regression Analysis and Model BuildingAnalyzing and Forecasting Time-Series DataIntroduction to Nonparametric StatisticsIntroducing Business Analytics

Feature
This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States. · Business Applications and decision-making emphasis. New applications are included and are highlighted in the text with special icons, making them easier for students to locate as they use the text. · Quick Prep Links at the beginning of the chapter provide several ways to prepare for the topics discussed. · Chapter Outcomes identify the benefits of completing the following chapter, linked to the corresponding main headings. The chapter outcomes are recalled throughout the text to remind students of the objectives. · Excel Functions text boxes, located in the text margin next to chapter examples, provide the Excel function that students can use to complete a specific test or calculation. · A step-by-step approach emphasizes concise, ordered details to reinforce chapter material. o How to Do It lists summarize major techniques and fundamental concepts. Textual examples give step-by-step details, allowing students to easily follow solution techniques. Students can apply the methodology from each example to solve other problems. o Textual Examples throughout the text provide step-by-step details, enabling students to easily follow solution techniques. These examples add to the vast array of business applications to give students a competitive edge. · Real-World Business Applications feature real companies, actual applications, rich data sets, all to help promote realistic decision making. These applications are motivational, thereby helping students understand the relevance of statistics. They are clearly indicated with special icons and cover areas from accounting and finance to supply chain management. This allows the authors to concentrate on addressing how students apply this statistical knowledge to decision-making. o Chapter Cases give students the opportunity to apply statistical tools. Each case challenges students to define a problem, determine the appropriate tool to use, apply it, and then write a summary report. · Speci