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An Adventure In Statistics The Reality Enigma – Andy Field

‘Interesting …,’ he said. I was confused. I thought back to meeting Celia and Nutcot and although I could picture the conversation, I was sure that we hadn’t touched on the code 1318 workers at all. The more I tried to remember, the more the phrase code 1318 cycled in my mind. Nothing came to me, nothing – and then something did and it turned me cold. Robust estimation www.ebook3000.com Bias corrected and accelerated (BCa) Mixed normal distribution confidence intervals Percentile bootstrap confidence interval Bootstrap Robust estimation Bootstrap samples Trimmed data Contaminated normal distribution Trimmed mean M-estimator Winsorizing What is a robust estimate?
What is the difference between trimming data and winsorizing it? Zach randomly selected 10 scores from the professional services non- employees (see Figure 9.1): 14, 15, 13, 11, 16, 13, 21, 12, 11, 15. Calculate the mean, the 20% trimmed mean, the 10% trimmed mean, and the 20% winsorized mean. Square-root transform the above scores. Table 9.3 Scientists’ strength scores for JIG:SAW employees and non- employees (see Figure 9.1) 1161, 1141, 1174, 1112, 1185, 1095, 1102, 1112, 1071, 1244, 1102, 1216, 1884, 1276, 1373, 1145, 1169, 1136, 1313, 1129, 1119, 1197, 1111, 1121, 1274, 1197, 1139, 1233, 1334, 1150, 1138, 1185, 1158, 1445, 1525, 1408, 1128, 1723 Non-employees 1321, 1153, 1072, 1218, 1088, 1373, 1135, 1055, 1096, 1007, 1223, 1291, 1171, 1101 2091, 1308, 1141, 1433, 1141, 1212, 1769, 1071, 1412, 1214, 1031, 1209, 1222, 1241, 1740, 1367, 1313, 1208, 1257, 1376, 1155, 1065, 1147, 1166, 1566, 1436 JIG:SAW’s Puzzles 5 Using the data in Table 9.3, what was the mean strength of scientists in both the JIG:SAW group and the non-employees?
6 Using the data in Table 9.3, what was the 20% trimmed mean strength of scientists in both the JIG:SAW group and the non-employees? 7 Using the data in Table 9.3, what was the 20% winsorized mean strength of scientists in both the JIG:SAW group and non-employees? 8 Using your answers above, how do the robust estimates of the mean differ from those based on the raw data?
9 Log-transform the JIG:SAW data from Table 9.3. 10 Describe the process of bootstrapping.
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SAGE remains majority-owned by our founder, and after Sara’s lifetime will become owned by a charitable trust that secures our continued independence. Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne www.ebook3000.com SAGE Publications Ltd Andy Field 2016 1 Oliver’s Yard 55 City Road First published 2016 London EC1Y 1SP Apart from any fair dealing for the purposes of research or SAGE Publications Inc. private study, or criticism or review, as permitted under the 2455 Teller Road Copyright, Designs and Patents Act, 1988, this publication may Thousand Oaks, California 91320 be reproduced, stored or transmitted in any form, or by any means, only with the prior permission in writing of the SAGE Publications India Pvt Ltd publishers, or in the case of reprographic reproduction, in B 1/I 1 Mohan Cooperative Industrial Area accordance with the terms of licences issued by the Copyright Mathura Road Licensing Agency.
Enquiries concerning reproduction outside New Delhi 110 044 those terms should be sent to the publishers. SAGE Publications Asia-Paciic Pte Ltd 3 Church Street #10-04 Samsung Hub Singapore 049483 Library of Congress Control Number: 2016936610 Editor: Mark Kavanagh Development editor: Robin Lupton British Library Cataloguing in Publication data Production editor: Ian Antcliff Copyeditor: Richard Leigh A catalogue record for this book is available from Proofreader: Andy Baxter the British Library Indexer: David Rudeforth Marketing manager: Ben Griffin-Sherwood Cover design: Wendy Scott Typeset by: C&M Digitals (P) Ltd, Chennai, India Printed and bound in Great Britain by Bell and Bain Ltd, Glasgow ISBN 978-1-4462-1044-4 ISBN 978-1-4462-1045-1 (pbk) At SAGE we take sustainability seriously.
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