Description: Now including Data Analysis Plus statistical add-ins for Excel, this text teaches students how to select among dozens of available statistical methods to find the most appropriate one for analyzing a given set of data. Realistic applications and the use of statistical software and spreadsheets motivate and show them how statistics is relevant to their future careers.

Each in-text example stresses the following elements:

1. Identify the appropriate techniques

2. Solve the problem (by hand, with Minitab "RM", with Excel)

3. Interpret results (What does the solution mean in the context of the problem?)

The book's unique review chapters (14, 18, and 24) are cumulative reviews of techniques introduced linking their use to the type of data and problem objective. Review problems and case studies require students to select the appropriate methods and use them. New features in this fourth edition include:
-- Examples throughout the text that include three methods of solution: solve by hand, solve with Minitab "RM", and solve with Excel
-- Step-by-step instructions for using Microsoft "RM" Excel and spreadsheet reproductions throughout
-- "Data Analysis Plus" -- Excel spreadsheet add-ins that expand Excel's capabilities to analyze problems throughout the course
-- Hundreds of new exercises and several new case studies (the text now includes over 1,000 exercises and more than 50 case studies in all)
-- Updated Minitab "RM" instructions and output
-- A new chapter that discusses the best way of applying graphical techniques, based on the work of Edward Tufte
-- A new chapter describing sources and techniques of data collection, including questionnaire design
--Plus -- new sections covering regression diagnostics; new material on the two-factor model; and coverage of covariance, correlation, and scatter diagrams in the early chapters

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