This 3rd edition compendium contains and explains essential statistical formulae in an economic context. The compendium has been enhanced with numerous additional practical examples to help readers better understand the formulas and their practical applications. The statistical formulary is presented in a practical, clear and understandable manner, as required for meaningful and relevant application in global business as well as in academic and business practice. New content includes explanations on the use of so-called dummy variables, which are useful because of their operational relevance in practice, especially in financial statistics.

Topics covered include: statistical signs and symbols, descriptive statistics, empirical distributions, ratios and indexes, correlation analysis, regression analysis, inferential statistics, probability, probability distributions, theoretical distributions, statistical estimation methods, confidence intervals, statistical testing methods, the Peren-Clement index, and standard statistical tables.

The scope of the book makes it an indispensable reference and essential reading for undergraduate and postgraduate students, as well as managers, academics and lecturers in business, politics and economics.

This is the third revised and extended edition Offers a comprehensive collection of formulas for economics and business statistics Presents practical examples that strengthen the reader's understanding of statistics

Autorentext

Prof. Dr. rer. pol. Franz W. Peren , Ph.D., is a professor of business administration, specializing in quantitative methods. He has been teaching business mathematics, business statistics and quantitative methods in planning, taxation and controlling within operational and strategic management since 1993, mainly at German universities of applied sciences. He has also taught and conducted research as a visiting professor at the University of Victoria in Victoria, BC, Canada and at Columbia University in New York City, USA.

Inhalt

Statistical Signs and Symbols.- Descriptive Statistics.- Inferential Statistics.- Probability Calculation.- Statistical Tables.- Case Study: Regression Analysis Using Dummy Variables in R.