Statistical Concepts and Methods The text introduces a broad spectrum of statistical principles at an elementary level, emphasizing understanding the subject rather than just learning the methods. Some of the major qualities and features it offers are: Descriptions of basic statistical methods, demonstrating their logical basis through intuitive reasoning rather than mathematical derivations. (Occasionally adding a few steps of algebra to satisfy a more curious mind.)Inferences drawn from analyzing data (of contemporary interest in many fields).Discussion of various tools of statistical inference, stressing the assumptions behind these techniques and the consequences of violations of the assumptions. (In addition to clearly stating the assumptions in individual problems, steps are indicated for checking possible violations.)Examples and exercises, drawn from real-life settings from various fields to cater to the interests of students in many disciplines. A large number of these contain data gathered from experiments on the campus as well as from published reports in journals and government publications.
Treatment of basic probability with interesting examples that motivate the role of probability in statistical inference. Introduction of testing hypotheses early in the text. In-depth coverage of regression and correlation analyses. Sample survey concepts including the advantage of stratifying sources of bias and practical aspects of designing.
About the authors 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). 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.