Business Statistics: Contemporary Decision Making / Edition 3

Business Statistics: Contemporary Decision Making / Edition 3

by Ken Black
     
 

ISBN-10: 0324009208

ISBN-13: 9780324009200

Pub. Date: 06/01/2000

Publisher: South-Western

This new edition continues presenting the concepts of statistics in a setting of business decision making through the use of real business data and applications. The text is targeted at the large majority of readers who likely will not be statisticians but rather will become decision makers in the business community and will need the quantitative decision-making…  See more details below

Overview

This new edition continues presenting the concepts of statistics in a setting of business decision making through the use of real business data and applications. The text is targeted at the large majority of readers who likely will not be statisticians but rather will become decision makers in the business community and will need the quantitative decision-making skills and statistical understanding to perform well in the business world. From the creation of this text, it was intended to expose the reader to statistics through the process of having read the text and explored its problem sets. To this end, "real" data and examples from the business environment are virtually everywhere. The main objective of this edition is to create a blending of statistics with the world of business to provide a seamless partnership in better business decision making.

Product Details

ISBN-13:
9780324009200
Publisher:
South-Western
Publication date:
06/01/2000
Edition description:
Older Edition
Pages:
819
Product dimensions:
8.82(w) x 11.32(h) x 1.91(d)

Related Subjects

Table of Contents

1. Introduction to Statistics. 2. Charts and Graphs. 3. Descriptive Statistics. 4. Probability. 5. Discrete Distributions. 6. Continuous Distributions. 7. Sampling and Sampling Distributions. 8. Statistical Inference: Estimation for Single Populations. 9. Statistical Inference: Hypothesis Testing for Single Populations. 10. Statistical Inferences about Two Populations. 11. Analysis of Variance and Design of Experiments. 12. Simple Regression and Correlation Analysis. 13. Multiple Regression Analysis and Model Building. 14. Index Numbers. 15. Forecasting and Time Series. 16. Chi-Square and Other Nonparametric Statistics. 17. Statistical Quality Control. 18. Decision Analysis. Appendix A. Tables. Appendix B. Answers to Selected Odd-Numbered Quantitative Problems. Appendix C. References. Glossary. Index.

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