書誌事項

Statistical techniques in business & economics

Douglas A. Lind, William G. Marchal, Samuel A. Wathen

(The Irwin/McGraw-Hill series in operations and decision sciences)

McGraw-Hill Education, c2021

18th ed., international student ed

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注記

Includes index

内容説明・目次

内容説明

Statistical Techniques in Business and Economics, 18e is a best seller, originally published in 1967 to provide students majoring in management, marketing, finance, accounting, economics, and other fields of business administration with an introductory survey of descriptive and inferential statistics. Its hallmark presentation boasts a step by step approach that was written so clearly that any student can learn and succeed in Business Statistics. Its simple language and use of multiple examples focus on business applications, but also relate to the current world of the college student. This step-by-step approach enhances performance, accelerates preparedness, and significantly improves motivation. Lind's real-world examples, comprehensive coverage, and superior pedagogy that now includes data analytics coverage, combined with a complete digital solution help students achieve higher outcomes in the course.

目次

Ch. 1 What Is Statistics? Ch. 2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Ch. 3 Describing Data: Numerical Measures Ch. 4 Describing Data: Displaying and Exploring Data Ch. 5 A Survey of Probability Concepts Ch. 6 Discrete Probability Distributions Ch. 7 Continuous Probability Distributions Ch. 8 Sampling, Sampling Methods, and the Central Limit Theorem Ch. 9 Estimation and Confidence Intervals Ch. 10 One-Sample Tests of Hypothesis Ch. 11 Two-Sample Tests of Hypothesis Ch. 12 Analysis of Variance Ch. 13 Correlation and Linear Regression Ch. 14 Multiple Regression Analysis Ch. 15 Nonparametric Methods: Nominal Level Hypothesis Tests Ch. 16 Nonparametric Methods: Analysis of Ordinal Data Ch. 17 Index Numbers Ch. 18 Forecasting with Time Series Analysis Ch. 19 Statistical Process Control and Quality Management Ch. 20 An Introduction to Decision Theory Appendix: Data Sets, Tables, Software Commands, Answers

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