Statistic for Business

Statistics for Economics, Business Administration, and the Social Sciences

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This book is a revised version in English of a text originally written
in Danish for a first course in applied statistics for students of economics,
public administration and business administration.
A limited knowledge of mathematics is required for understanding
the text, except for a single chapter where some knowledge of elementary
matrix algebra is necessary. Complicated mathematical proofs are avoided
and the explanations are based on intuition and numerical examples.
The aim of the book is to enable the student to understand the reasoning
underlying a statistical analysis and to apply statistical methods
to problems likely to be met within the fields of economy, public
administration and business administration.
The content of the book can be divided into four parts:
methods for exploratory data analysis are presented in chapter 2;
probability theory and standard statistical distributions are discussed
in chapter 3~9;
statistical inference theory is presented in chapter 10-12;
and the application of statistical methods is discussed in chapter
13-19.
Chapter 13 deals with simple models related to the normal distribution.
The subject of chapter 14 is simple linear regression and that of
chapter 15, multiple linear regression. In chapter 16, problems related
to heteroscedasticity and autocorrelation in regression models are
treated. The presentation of the regression models is based on the application
of the least squares method, stressing the importance of methods
for evaluating the influence of the individual cases. Chapter 17
contains an introduction to survey sampling, and, finally, chapters 18
and 19 deal with the application of the multinomial distribution and
the Poisson distribution for the analysis of categorical data, in particular
the analysis of contingency tables.
The applications are illustrated by numerical examples, most of
which originate from the fields in which the respective authors are engaged. Most of these examples have never been presented before In English
text books. However, due to space restrictions and the complexity
of the original problems, these examples are usually not presented in
full.
We are indebted to our colleague at the Institute of Statistics,
University of Copenhagen, Anders Milh0j, who read and commented on the
draft of the manuscript, and to George W. Leeson who has made a heroic
attempt to correct the existing text. In particular, we are indebted to
Mirtha Cereceda and Joan N. Rasmussen, who typed the manuscript.

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