Statistics Principles and Methods

by Johnson, Richard A.; Bhattacharyya, Gouri K.

• ISBN13: 9780470904114
• ISBN10: 0470904119
• Edition: 7th
• Format: Paperback
• Copyright: 2014-04-14
• Publisher: Wiley

Summary

Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods. New What Will We Learn opening paragraphs set the stage for the material being discussed. Using Statistics Wisely boxes summarize key lessons. In addition, Statistics in Context sections give business professionals an understanding of applications in which a statistical approach to variation is needed.

Author Biography

RICHARD A. JOHNSON, Professor of Statistics at The University of Wisconsin, Madison, received his Ph.D. from the University of Minnesota in 1966. He has been at the University of Wisconsin since 1966, except for a one-semester visiting position at the University of Oslo in 1972. Dr. Johnson is an Associate Editor of the Journal of the American Statistical Association and the Secretary-Treasurer of the Madison Chapter of ASA, and Associate Program Secretary of the Institute of Mathematical Statistics.

GOURI K. BHATTACHARYYA is Professor of Statistics at The University of Wisconsin, Madison. He received his B.Sc. (1958) and M.Sc. (1960) in Statistics from Calcutta University and his Ph.D. (1966) from the University of California, Berkeley. He has taught at The University of Wisconsin since 1966 with two one-year visiting positions in India at the Indian Institute of Management (1969-70) and the Indian Statistical Institute (1975-76). Dr. Bhattacharyya is a member of the Institute of Mathematical Statistics and Fellow of the Royal Statistical Society (London).

Table of Contents

1. Introduction

2. Organization and Description of Data

3. Descriptive Study of Bivariate Data

4. Probability

5. Probability Distributions

6. The Normal Distribution

7. Variation in Repeated Samples-Sampling Distribution

8. Drawing Inferences From Large Samples

9. Small-Sample Inferences for Normal Populations

10. Comparing Two Treatments

11. Regression Analysis I

12. Regression Analysis- II

13. Analysis of Categorical Data

14. Analysis of Variance (ANOVA)

15. Nonparametric Inference