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Brief Course in Business Statistics

Brief Course in Business Statistics - 2nd edition

ISBN13: 978-0534381301

Cover of Brief Course in Business Statistics 2ND 01 (ISBN 978-0534381301)
ISBN13: 978-0534381301
ISBN10: 0534381308
Cover type:
Edition/Copyright: 2ND 01
Publisher: Duxbury Press
Published: 2001
International: No

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Brief Course in Business Statistics - 2ND 01 edition

ISBN13: 978-0534381301

William Mendenhall, Robert J. Beaver and Barbara M. Beaver

ISBN13: 978-0534381301
ISBN10: 0534381308
Cover type:
Edition/Copyright: 2ND 01
Publisher: Duxbury Press

Published: 2001
International: No
Summary

Based on their popular book, A COURSE IN BUSINESS STATISTICS, this condensed text by William Mendenhall, Robert J. Beaver, and Barbara M. Beaver emphasizes the important concepts and methods of statistics that students are likely to see and use in their future courses and careers. Clear and easy to comprehend, this text achieves a balance of manual and computer methods, and emphasizes applications. The authors' approach is reflected in their objective: to make inferences about a population from information contained in a sample drawn from that population, and to assess the reliability of the inference. Students are shown how to solve problems even where uncertainty exists, because uncertain situations will confront them in business. Using this knowledge, students soon begin to understand the role of statistics in making informed business decisions and in shaping daily life, and to appreciate the implications of reported statistics.

Author Bio

Mendenhall, William : University of Florida

William Mendenhall Professor Emeritus, University of Florida.


Beaver, Robert J. : University of California-Riverside


Beaver, Barbara M. : University of California-Riverside

Table of Contents

1. What Is Statistics?
2. Describing Sets of Data.
3. Probability and Discrete Probability Distributions.
4. Useful Discrete Probability Distributions.
5. The Normal and Other Continuous Probability Distributions.
6. Sampling Distributions.
7. Estimation of Means and Proportions.
8. Tests of Hypotheses for Means and Proportions.
9. The Analysis of Variance.
10. Quality Control.
11. Linear Regression and Correlation.
12. Multiple Regression Analysis.
13. The Chi-Square Goodness-Of-Fit Test.

Appendix I: Description of the Data Sets.
Appendix II: Tables.
Appendix III: Case Studies.
Appendix IV: Primary Data Sources.
Appendix V: Using Excel.

Answers To Selected Exercises.
Index.

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