ビジネスと経済学のための統計:必修公式集(第2版)<br>Statistics for Business and Economics : Compendium of Essential Formulas (2. Aufl.)

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ビジネスと経済学のための統計:必修公式集(第2版)
Statistics for Business and Economics : Compendium of Essential Formulas (2. Aufl.)

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Description

This 2nd edition compendium contains and explains essential statistical formulas within an economic context. Expanded by more than 100 pages compared to the 1st edition, the compendium has been supplemented with numerous additional practical examples, which will help readers to better understand the formulas and their practical applications. This statistical formulary is presented in a practice-oriented, clear, and understandable manner, as it is needed for meaningful and relevant application in global business, as well as in the academic setting and economic practice.
The topics presented include, but are not limited to: statistical signs and symbols, descriptive statistics, empirical distributions, ratios and index figures, correlation analysis, regression analysis, inferential statistics, probability calculation, probability distributions, theoretical distributions, statistical estimation methods, confidence intervals, statistical testing methods, the Peren-Clement index, and the usual statistical tables.
Given its scope, the book offers an indispensable reference guide and is a must-read for undergraduate and graduate students, as well as managers, scholars, and lecturers in business, politics, and economics. Statistical Signs and Symbols.- Descriptive Statistics.- Inferential Statistics.- Probability Calculation.- Statistical Tables.- Bibliography.- Index.

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.