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Statistics: Concepts and Applications

Statistics: Concepts and Applications


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About the Book

This introductory-level book is designed as a text for students of statistics, mathematics, and management. In addition, postgraduate students pursuing courses in other subjects such as biology, psychology, sociology, and anthropology would also find the book extremely useful. The text gives a clear and concise analysis of the fundamental principles of statistics. In the process, it uses illustrative and motivating examples to make the concepts clearer and show how these concepts can be applied to real-world situations. This book, with its stress on the fundamental principles and reinforced by its illustrative approach, should appeal not only to students but also to practicing professionals, surveyors, and administrators.

Table of Contents:
List of Figures; List of Tables; Preface; Acronyms; Notation; 1. Basic Concepts of Statistical Studies; 2. Organizing a Raw Data Set; 3. Pictorial Representation of a Data Set; 4. Summarizing a Raw Data Set; 5. Summarizing an Organized Data Set; 6. Concepts of Probability; 7. Random Variables; 8. Binomial Experiments; 9. Normal Curve and Normal Distribution; 10. Application of the Normal Distribution; 11. Estimation of Population Parameters; 12. Hypothesis Testing for a Single Population; 13. Hypothesis Testing to Compare Two Populations; 14. Bivariate Quantitative Data: Correlation and Regression; 15. Bivariate Categorical Data: Contingency Tables; 16. Multinomial Experiments: Goodness of Fit Test; 17. Hypothesis Testing to Compare Multiple Populations; 18. Quality Management Using Statistics; Appendices; Index.

About the Author :
NABENDU PAL (Ph.D., Statistics, University of Maryland, Baltimore County) is Professor of Statistics and Graduate Coordinator in the Department of Mathematics, University of Louisiana at Lafayette. Earlier (Spring 1989), he taught at University of Arkansas, Fayetteville. He was also a Visiting Scientist at Division of Theoretical Statistics and Mathematics, Indian Statistical Institute, Kolkata. A member of various national and international associations, Professor Nabendu Pal has about 60 research papers to his credit. His areas of interest are decision theory and Bayesian analysis, reliability and life testing, and biostatistics. SAHADEB SARKAR (Ph.D., Statistics, Iowa State University) is Professor of Statistics in the Operations Management Group, and Chairman, Postgraduate Programme at the Indian Institute of Management Calcutta. Earlier (1990 - 97), he taught at Oklahoma State University and also at the Department of Mathematics, University of Louisiana at Lafayette (in 2001 and 2002). He was also an Honorary Visiting Scientist at the Indian Statistical Institute, Kolkata (during September 1997 - August 1999). Professor Sarkar has about 40 research papers to his credit published in various international journals. His areas of interest are robust inference, minimum disparity inference, reliability, time series and forecasting, categorical data, and measurement error models.


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Product Details
  • ISBN-13: 9788120326798
  • Publisher: PHI Learning
  • Publisher Imprint: Prentice-Hall of India Pvt.Ltd
  • Height: 235 mm
  • No of Pages: 404
  • Width: 178 mm
  • ISBN-10: 8120326792
  • Publisher Date: 30 Mar 2005
  • Binding: Paperback
  • Language: English
  • Sub Title: Concepts and Applications


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