Download Statistical Methods for the Social Sciences: United States Edition
Description Statistical Methods for the Social Sciences: United States Edition
For an introductory course in statistics for undergraduate or graduate students in departments of sociology, political science, and psychology, geography, anthropology, journalism, and speech.
Assuming no prior knowledge of statistics, these authors combine their varied backgrounds―one a statistician, the other a social scientist―to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that are interesting and relevant to social scientists. The Third Edition has been both updated and improved to integrate real-world data into examples and exercises and make coverage more accessible throughout the text.Read online Statistical Methods for the Social Sciences: United States Edition
Download [PDF] Statistical Methods For The Social Sciences ~ Statistical Methods and Applications Shenyang Guo, Mark W. Fraser . Printed in the United States of America Library of Congress Cataloging-in-Publication Data Guo, Shenyang, author. . 2nd edition. pages cm. ā (Advanced quantitative techniques in the social sciences) Includes bibliographical references and index. Author: Shenyang Guo
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Statistical Methods for the Social Sciences, 5th Edition ~ Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines.With an emphasis on concepts and applications, this book assumes no previous knowledge of statistics and only a minimal mathematical background.
: Statistical Methods for the Social Sciences ~ Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes you have no previous knowledge of statistics and only a minimal mathematical background.
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