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Statistical Methods for the Social Sciences
STATISTICAL METHODS
FOR
THE SOCIAL SCIENCES
C. A. HESSE, BSc, MPhil, PhD,
Senior Lecturer of Statistics
Methodist University College Ghana
J. B. OFOSU, BSc, PhD, FSS
Professor of Statistics
Methodist University College Ghana
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Statistical Methods for the Social Sciences
Copyright © 2017
Akrong Publications Ltd.
All rights reserved
No part of this publication may be reproduced, in part or in whole, stored in a retrievable
system, or transmitted in any form or by any means, electronic, mechanical, photocopying,
recording or otherwise, without prior permission of the publisher.
Published and Printed by
AKRONG PUBLICATIONS LIMITED
P. O. BOX M. 31
ACCRA, GHANA
(0244 648 757, 0264 648 757)
ISBN: 978–9988–2–6060–6
Published, 2017
akrongh@yahoo.com.
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Statistical Methods for the Social Sciences
PREFACE
The purpose of this book is to acquaint the reader with the increasing number of applications
of statistics in engineering and the social sciences. It can be used as a textbook for a first course
in statistical methods in Universities and Polytechnics. The book can also be used by decision
makers and researchers to either gain basic understanding or to extend their knowledge of
some of the most commonly used statistical methods.
Our goal is to introduce the basic theory without getting too involved in mathematical
detail, and thus to enable a larger proportion of the book to be devoted to practical applications.
Because of this, some results are stated without proof, where this is unlikely to affect the
reader’s comprehension. However, we have tried to avoid the cook-book approach to statistics
by carefully explaining the basic concepts of the subject, such as probability and sampling
distributions; these the reader must understand.
The worst abuses of statistics occur when scientists try to analyze their data by substituting
measurements into statistical formulae which they do not understand.
The book contains ten Chapters. Chapter 1 deals with overview of statistics. In Chapter 2,
we discuss how to describe data, using graphical and summary statistics. Chapter 3 covers
probability while Chapters 4 and 5 cover probability distributions. Chapters 6, 7, 8 and 9
present basic tools of statistical inference; point estimation, interval estimation, hypothesis
testing and analysis of variance. Chapter 10 presents linear regression and correlation. Our
presentation is distinctly applications-oriented.
A prominent feature of the book is the inclusion of many examples. Each example is
carefully selected to illustrate the application of a particular statistical technique and or
interpretation of results. Another feature is that each chapter has an extensive collection of
exercises. Many of these exercises are from published sources, including past examination
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Statistical Methods for the Social Sciences
questions from King Saud University (Saudi Arabia) and Methodist University College Ghana.
Answers to all the exercises are given at the end of the book.
We are grateful to Ms. Patience Workpor, secretary to the Dean of Informatics and
Mathematical Sciences for her editorial assistance. We are also grateful to Professor Abdullah
Al-Shiha of King Saud University (Saudi Arabia) for reading a draft of the book and offering
helpful comments and for his permission to publish the statistical tables he used the Minitab
software package to prepare. These tables are given in the Appendix. Last, but not least, we
thank King Saud University and Methodist University College Ghana, for permission to use
their past examination questions in Statistics.
We have gone to great lengths to make this text both pedagogically sound and
error free. If you have any suggestions, or find potential errors, please contact us at
jonofosu@hotmail.com or akrongh@yahoo.com.
J. B. Ofosu
C. A. Hesse
July, 2017
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