As Business Statistics evolves and becomes an increasingly important part of one’s business education, how business statistics gets taught and what gets taught becomes all the more important. Th eighth edition of Statistics for Managers Using Microsoft Excel encompasses ways to help students see the relevance of statistics in their own careers and acquaint them with the various tools that will enable them to apply statistics in their professional domains.
First Things First Chapter: This new chapter provides an orientation that helps students understand the importance of business statistics and get ready to use Microsoft Excel even before they obtain a full copy of this book.
Getting Ready to Analyze Data in the Future: This newly expanded version of Chapter 17 adds a second Using Statistics scenario that serves as an introduction to business analytics methods. That introduction, in turn, explains several advanced Excel features while familiarizing students with the fundamental concepts and vocabulary of business analytics.
Expanded Excel Coverage: Workbook instructions replace the In-Depth Excel instructionsin the Excel Guides and discuss more fully OS X Excel (“Excel for Mac”) di erences when they occur
In the Worksheet Notes that help explain the worksheet illustrations that in-chapter examples use as model solutions
Many More Exhibits: Stand-alone summaries of important procedures that serve as a review of chapter passages. Exhibits range from identifying best practices, such “Best Practices for Creating Visualizations” in Chapter 2, to serving as guides to data analysis such as the pair of “Questions to Ask” exhibits in Chapter 17.
New Visual Design: This edition uses a new visual design that better organizes the chapter content and provides a more uncluttered,streamline presentation
Contents:
First Things First 1
1 Defining and Collecting Data 12
2 Organizing and Visualizing Variables 32
3 Numerical Descriptive Measures 95
4 Basic Probability 141
5 Discrete Probability Distributions 166
6 The Normal Distribution and Other Continuous Distributions 189
7 Sampling Distributions 216
8 Confidence Interval Estimation 237
9 Fundamentals of Hypothesis Testing: One-Sample Tests 270
10 Two-Sample Tests 307
11 Analysis of Variance 348
12 Chi-Square Tests and Nonparametric Tests 386
13 Simple Linear Regression 427
14 Introduction to Multiple Regression 475
15 Multiple Regression Model Building 521
16 Time-Series Forecasting 553
17 Getting Ready To Analyze Data In The Future 598
18 Statistical Applications in Quality Management (online) 18-1
19 Decision Making (online) 19-1
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