Statistics for Management and Economics
Discover how important statistical methods are for today's managers and economists as you learn how to apply these tools to real business problems with Keller's best-selling STATISTICS FOR MANAGEMENT AND ECONOMICS, 12E. This edition emphasizes applications over calculations. A unique three-step "ICI" approach to problem solving teaches you how to "identify" the correct statistical technique by focusing on the problem objective and data type; "compute" the statistics by hand or using Excel XLSTAT or STATA; and, finally, "interpret" the results within the context of the problem. Data-driven examples and more than 30 cases demonstrate how marketing managers, financial analysts, accountants and economists rely on statistical applications. In addition, thousands of exercises and datasets use real data from individuals, sports teams or the stock market to let you practice what you've learned. MindTap digital resources include XLSTAT commercial Excel add-in and additional activities for practice.
1116778367
Statistics for Management and Economics
Discover how important statistical methods are for today's managers and economists as you learn how to apply these tools to real business problems with Keller's best-selling STATISTICS FOR MANAGEMENT AND ECONOMICS, 12E. This edition emphasizes applications over calculations. A unique three-step "ICI" approach to problem solving teaches you how to "identify" the correct statistical technique by focusing on the problem objective and data type; "compute" the statistics by hand or using Excel XLSTAT or STATA; and, finally, "interpret" the results within the context of the problem. Data-driven examples and more than 30 cases demonstrate how marketing managers, financial analysts, accountants and economists rely on statistical applications. In addition, thousands of exercises and datasets use real data from individuals, sports teams or the stock market to let you practice what you've learned. MindTap digital resources include XLSTAT commercial Excel add-in and additional activities for practice.
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Statistics for Management and Economics

Statistics for Management and Economics

by Gerald Keller
Statistics for Management and Economics

Statistics for Management and Economics

by Gerald Keller

Overview

Discover how important statistical methods are for today's managers and economists as you learn how to apply these tools to real business problems with Keller's best-selling STATISTICS FOR MANAGEMENT AND ECONOMICS, 12E. This edition emphasizes applications over calculations. A unique three-step "ICI" approach to problem solving teaches you how to "identify" the correct statistical technique by focusing on the problem objective and data type; "compute" the statistics by hand or using Excel XLSTAT or STATA; and, finally, "interpret" the results within the context of the problem. Data-driven examples and more than 30 cases demonstrate how marketing managers, financial analysts, accountants and economists rely on statistical applications. In addition, thousands of exercises and datasets use real data from individuals, sports teams or the stock market to let you practice what you've learned. MindTap digital resources include XLSTAT commercial Excel add-in and additional activities for practice.

Product Details

ISBN-13: 9780357714270
Publisher: Cengage Learning
Publication date: 03/14/2022
Series: MindTap Course List
Edition description: 12th ed.
Pages: 1000
Product dimensions: 7.95(w) x 9.92(h) x 1.57(d)

About the Author

Gerald Keller is emeritus professor of business at Wilfrid Laurier University, where he taught statistics, management science and operations management from 1974 to 2011.

Table of Contents

1. What is Statistics? 2. Graphical Descriptive Techniques I. 3. Graphical Descriptive Techniques II. 4. Numerical Descriptive Techniques. 5. Data Collection and Sampling. 6. Probability. 7. Random Variables and Discrete Probability Distributions. 8. Continuous Probability Distributions. 9. Sampling Distributions. 10. Introduction to Estimation. 11. Introduction to Hypothesis Testing. 12. Inference about a Population. 13. Inference about Comparing Two Populations. 14. Analysis of Variance. 15. Chi-Squared Tests. 16. Simple Linear Regression and Correlation. 17. Multiple Regression. 18. Model Building. 19. Nonparametric Statistics. 20. Time-Series Analysis and Forecasting. 21. Statistical Process Control. 22. Decision Analysis. 23. Conclusion. Appendix A. Data File Sample Statistics. Appendix B. Tables. Appendix C. Answers to Selected Even-Numbered Exercises. Index.
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