Essentials of Modern Business Statistics with Microsoft Office Excel, 7th Edition

Essentials of Modern Business Statistics with Microsoft Office Excel, 7th Edition
PDF
  • eBook:
    Essentials of Modern Business Statistics with Microsoft Office Excel, 7th Edition
  • Author:
    David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
  • Edition:
    7 edition
  • Categories:
  • Data:
    March 10, 2017
  • ISBN:
    1337298298
  • ISBN-13:
    9781337298292
  • Language:
    English
  • Pages:
    816 pages
  • Format:
    PDF

Book Description
Discover an accessible introduction to business statistics as ESSENTIALS OF MODERN BUSINESS STATISTICS, 7E balances a conceptual understanding of statistics with real-world applications of statistical methodology. The book integrates Microsoft Excel 2016, providing step-by-step instructions and screen captures to help you master the latest Excel tools. Extremely reader-friendly, this edition includes numerous tools to maximize your course success, including Self-Test Exercises, margin annotations, insightful Notes and Comments, and real-world Methods and Applications exercises. Eleven new Case Problems, as well as new Statistics in Practice applications and real data examples and exercises, give you opportunities to put what you learn into practice. Additional learning resources, including MindTap and CengageNOW for online homework assistance and a complete support website, provide everything to acquire Excel 2016 skills and an understanding of business statistics.

Content

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

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