Statistics for economics, accounting and business studies
Author(s)
Bibliographic Information
Statistics for economics, accounting and business studies
Financial Times Prentice Hall, an imprint of Pearson Education Ltd., c2001
3rd ed
Available at 4 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
First published in 1996
Includes bibliographical references and index
Description and Table of Contents
Description
This is a core text for introductory courses in statistics at undergraduate and MBA level. The book will be particularly suitable for economics and accounting students and will also appeal to business studies students. The third edition of Statistics for Economics, Accounting and Business Studies presents an exceptionally clear and concise introduction to a range of statistical concepts and techniques. Using actual data to illustrate the text, this student-friendly book shows how real-life problems can be solved using statistical techniques and explains why particular techniques are used. Throughout the text key issues are highlighted and many common statistical traps and mistakes are revealed and explained. Aimed at students of economics and the closely related disciplines of accountancy and business, this user-friendly text requires no prior knowledge of the subject and provides students with numerous real-life examples, problems and applications.
Table of Contents
Preface to the second edition. Introduction. 1. Descriptive statistics. 2. Index numbers. 3. Probability. 4. Probability distributions. 5. Estimation and confidence levels. 6. Hypothesis testing. 7. Data collection and sampling methods. 8. The chi-squared and F distributions. 9. Correlation and regression. 10. Multiple regression. 11. The analysis of time series. Appendix: Tables. Answers to exercises. Index.
by "Nielsen BookData"