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The present book is a statistical course for
undergraduate students in all fields of social and economic sciences. The book
presents a manual on the course "General Theory of Statistics",
including a series of not quite traditional topics. First of all, it concerns
the mathematical bases of statistics and use of computer technologies in
statistical probing. Thematic choice of the chapters and sections of the book
is caused not only by interests and tastes of the authors, but also by modern
tendencies in applied statistics and orientation of the given work.
To some detailed elaboration are considered
basic topics of general theory of statistics, namely:
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the subject and method of statistics, its place among other sciences;
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elements of probability theory;
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bases of statistical observation;
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grouping, report, and presentation of statistical data;
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absolute and relative quantities;
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bases of averages method;
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correlation and regression analysis;
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elements of analysis of variation and time series;
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elements of the index method;
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computer means of statistical data analysis.
The book
contains a series of concrete proposals for improvement of statistical practice;
many of these proposals are based on our
experience in practical statistical activity in statistical organs of the USSR
and Estonia in the early nineties of the last century. A comparability aspect
of the Soviet
statistical school inheriting many traditions of the worldwide known Russian
school of the probability theory and statistics, with western statistics can be
interesting enough to the English-speaking reader both in historical and
substantial respect.
This book has been written for a large enough audience of
teachers, researchers, statisticians, students,
collegians and users of statistics in behavioral and social sciences. Above
all, the book is directed to a wide circle of the readers studying statistical
disciplines in high schools and colleges; however, it can be useful also to
persons independently studying statistics. The presence in the book of a
of untraditional themes makes by its useful manual for all those who by and
large adjoins in own activity to the
statistical data analysis of various character and nature.
The novel features of this course are numerous examples of statistical
procedures, implemented in environment of the well-known mathematical package
Maple. The source codes of the given procedures are enclosed with the
body text of the book, what allows to use them directly in the Maple
environment with concrete data of the reader. The basic information on the
package, presented in the last chapter of the book, is quite sufficient on
initial stage of its use. In addition, collection of worksheets with the most
frequent-used statistical procedures for Maple of releases 5 - 9.5 is
presented. These and other procedures are in the user Library, allowing
to carry out simple statistical data analysis of different nature and purpose
in the Maple environment. The Library can be free-of-charge
downloaded from our web sites presented below.
Material of the present book is based on three our Russian books whose pressrun
was completely sold out. These books have been written on the basis of a series
of courses of lectures on the General Theory of Statistics, Probability Theory
and Mathematical Statistics for undergraduate students of Universities of
Byelorussia and Baltic countries, which specialize in the field of economic and
social sciences (jurisprudence, international law, sociology, psychology,
economics, banking, bookkeeping etc.). The book contains vast enough both
English and Russian literature on different aspects of statistics. Along with
that the book is supplied with numerous useful references concerning
statistical organizations, statistical periodicals etc.
Taking into account more and more increasing role of
statistical analysis (as one of the main prerequisites of ensuring of a
feedback in management) for an ensuring of the reliable information in
economics, finance, banking, business and management, there are all
prerequisites that the offered book will find the numerous readers of the
different level and spheres of activity.
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