Lind, Douglas A.,

Statistical techniques in business & economics / Douglas A. Lind, William G. Marchal, and Robert D. Mason. - Eleventh edition. - Boston : McGraw-Hill, c2002. - xviii, 830 pages : color illustration ; 26 cm

Includes bibliographical references and index.

Contents: Chapter 1 What is statistics? -- Chapter 2 Describing data: frequency distributions and graphic presentation -- Chapter 3 Describing data: Measures of central tendency -- Chapter 4 Other descriptive measures -- Chapter 5 A survey of probability concepts -- Chapter 6 Discrete probability distributions -- Chapter 7 The normal probability -- Chapter 8 Sampling methods and the central limit theorem -- Chapter 9 Estimation and confidence intervals -- Chapter 10 One-sample tests of hypothesis -- Chapter 11 Two-sample tests of hypothesis -- Chapter 12 Analysis of variance -- Chapter 13 Linear regression and correlation -- Chapter 14 Multi regression and correlation analysis -- Chapter 15 Nonparametric methods: chi-square applications -- Chapter 16 Nonparametric methods: analysis of ranked data -- Chapter 17 Statistical quality control -- Chapter 18 Index numbers -- Chapter 19 Time series and forecasting -- Chapter 20 An introduction to decision theory.

"As the name implies, the objective of Statistical Techniques in Business and Economics is to provide students majoring in economics, finance, marketing, accounting, management, and other fields of business administration, with an introductory survey of the many business applications of descriptive and inferential statistics. While we have focused on business applications, we have also attempted to use examples and problems that are student oriented and that do not require previous business courses." —Preface

Adolescence


Text in English

9780071123181 [paperback]


Social sciences--Statistical methods.
Commercial statistics.

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