
Essentials of Modern Business Statistics with Microsoft® Excel®
- English
- PDF
- Available on iOS & Android
Essentials of Modern Business Statistics with Microsoft® Excel®
About this book
Develop a strong conceptual understanding of statistics as ESSENTIALS OF MODERN BUSINESS STATISTICS WITH MICROSOFT® EXCEL®, 8E balances real-world applications with an integrated focus on the latest version of Microsoft® Excel®. This best-selling, essentials edition clearly develops each statistical technique in an application setting. You learn to master statistical methodology with an easy-to-follow presentation of a statistical procedure followed by a discussion of how to use Excel® 2019 to perform the procedure. Step-by-step instructions and screen captures ensure understanding. More than 140 new business examples, proven methods, and application exercises show how statistics provide insights into today's business decisions and problems. A unique problem-scenario approach and new case problems demonstrate how to apply statistical methods to practical business situations. MindTap digital resources provide tools to help you master Excel®, Excel® Online, and R as well as gain an understanding of business statistics.
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Information
Table of contents
- Cover
- Brief Contents
- Contents
- Preface
- About the Authors
- Chapter 1: Data and Statistics
- Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
- Chapter 3: Descriptive Statistics: Numerical Measures
- Chapter 4: Introduction to Probability
- Chapter 5: Discrete Probability Distributions
- Chapter 6: Continuous Probability Distributions
- Chapter 7: Sampling and Sampling Distributions
- Chapter 8: Interval Estimation
- Chapter 9: Hypothesis Tests
- Chapter 10: Inference about Means and Proportions with Two Populations
- Chapter 11: Inferences about Population Variances
- Chapter 12: Tests of Goodness of Fit, Independence, and Multiple Proportions
- Chapter 13: Experimental Design and Analysis of Variance
- Chapter 14: Simple Linear Regression
- Chapter 15: Multiple Regression
- Appendixes
- Index