Simple Regression
A regression model is introduced. Basically, a simple regression model deals with one dependent variable and one independent variable. The technique is demonstrated to show how to formulate the hypotheses in a simple regression model and tested. Setting t
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Applied Statistics for Social and Management Sciences
Applied Statistics for Social and Management Sciences
Abdul Quader Miah
Applied Statistics for Social and Management Sciences
123
Abdul Quader Miah Asian Institute of Technology Bangkok Thailand
ISBN 978-981-10-0399-8 DOI 10.1007/978-981-10-0401-8
ISBN 978-981-10-0401-8
(eBook)
Library of Congress Control Number: 2015960235 © Springer Science+Business Media Singapore 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Science+Business Media Singapore Pte Ltd.
When you can measure what you are speaking about, and express it in numbers, you know something about it. When you cannot measure it, when you cannot express it in numbers, your knowledge is of a meager and unsatisfactory kind. It may be the beginning of knowledge, but you have scarcely in your thoughts advanced to the stage of science. Lord Kelvin
Preface
The beauty of statistics lies in the fact that almost all planning, management, business and engineering problems, and phenomena require statistics as an analytical tool to help in subsequent decision making. The users of these and other sciences need statistics equally. To most of the users, the applied parts and not the fine mathematics of the subject are of great importance. They have little opportunity and time in going to the sophisticated theories of statistics. At the same time, they must be in a position to interpret the technical details of the subject in order to correctly use the tool. This is important to guard against misuse of statistics. It is recognized that the users of statistics come largely from various disciplines, some having no strong mathematical background. Emphasis of such users is on the application of statistics in the real and practical problems. My engineering background, training in planning and management, and teaching of statistics in the Asian Institute of
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