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This textbook introduces readers to practical statisticalissues by presenting them within the context of real-life economics andbusiness situations. It presents the subject in a non-threatening manner, withan emphasis on concise, easily understandable explanations. It has beendesigned to be accessible and student-friendly and, as an added learningfeature, provides all the relevant data required to complete the accompanyingexercises and computing problems, which are presented at the end of eachchapter. It also discusses index numbers and inequality indices in detail,since these are of particular importance to students and commonly omitted intextbooks.
Throughout the text it is assumed that the student has noprior knowledge of statistics. It is aimed primarily at business and economicsundergraduates, providing them with the basic statistical skills necessary forfurther study of their subject. However, students of other disciplines willalso find it relevant.
List of contents
Introduction.-1.Collecting Data.- 2.Data presentation:Graphs, Frequency Tables and Histograms.- 3.Measures of Location.- 4.Measuresof Dispersion.- 5.Index Numbers.- 6.Inequality Indices.- 7.Probability Theory.-8.Probability Distributions.- 9.Estimation and Confidence Intervals.- 10.HypothesisTesting.- 11.The 2,F-Distributions and the ANOVA.- 12.Correlation.- 13.Simple Regression. Chapter14.Multiple Regression.- 15.The Analysis of Time Series.- Appendix .
About the author
Durmü Özdemir is a professor
in economics at Yäar University, ¿zmir, Turkey. He received his PhD degree
in Macroeconomics from University of Leicester, England. He hold a PG degree
from the University of Glasgow and BSc degree from Hacettepe University. Previously, he had worked
for the University Of Sussex, England, Bilkent University, Ankara and Istabbul
Bilgi University, Turkey Université libre de Bruxelles (ULB), Belgium. More
than ten years of his academic life is spent in Europe. Durmü is interested in
Statistics, Growth, Trade, European Economic Integration, Macroeconomics, CGE
and Structural Economic Modelling. He is a research associate at Economic
Research Forum and an instructor and research fellow for the ECOMOD global
economic modelling group where he involved in building several country models
including the model used for the peace dividend for Greece and Turkey. He is edited
several conference proceedings and published number of papers, books and
chapters in edited volumes in his research area. He is currently a Jean Monnet
Module Holder on European Political Economy and World Trade Organization (WTO)
regional Trade Policy instructor for Central and Eastern Europe, Central Asia
and the Caucasus Countries (CEECA). He is a project Evaluator for TUBITAK. He is also an advisor to the European
Parliament on the issues of trade and economic relations between Turkey and the
EU.
Summary
This textbook introduces readers to practical statistical
issues by presenting them within the context of real-life economics and
business situations. It presents the subject in a non-threatening manner, with
an emphasis on concise, easily understandable explanations. It has been
designed to be accessible and student-friendly and, as an added learning
feature, provides all the relevant data required to complete the accompanying
exercises and computing problems, which are presented at the end of each
chapter. It also discusses index numbers and inequality indices in detail,
since these are of particular importance to students and commonly omitted in
textbooks.
Throughout the text it is assumed that the student has no
prior knowledge of statistics. It is aimed primarily at business and economics
undergraduates, providing them with the basic statistical skills necessary for
further study of their subject. However, students of other disciplines will
also find it relevant.
