Statistics for economics, accounting and business studies
Author(s)
Bibliographic Information
Statistics for economics, accounting and business studies
Longman, 1996
2nd ed
- : pbk
Available at 11 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
Rev. ed of: Statistics for economics, accounting and business studies. c1988
Includes bibliographical references and index
Description and Table of Contents
Description
Statistics for Economics, Accounting and Business Studies, now in a fully revised second edition, presents an exceptionally clear introduction to statistical methods for students of economics, business and accounting. The text covers the two main areas of statistics: Descriptive Statistics (graphs, averages, measures of dispersion, index numbers and measures of inequality) and Inferential Statistics, (probability distributions, estimation, hypotheses testing and regression analysis, including multiple regression). All relevant statistical concepts are presented in a straightforward and student-friendly style. Using actual data to illustrate the text, the book shows how real-life problems can be solved using set techniques - and why particular techniques are chosen. A full set of solutions with commentary is available to lecturers adopting the book as a main text.
Table of Contents
*Descriptive Statistics. *Index Numbers. *Probability. *Random Variables and Probability Distributions. *Estimation. *Hypotheses Testing. *Sampling Methods. *Correlation and Regression. *Time Series Methods. *Non-Parametric Statistics.
by "Nielsen BookData"