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Statistics for the Life Sciences

Statistics for the Life Sciences Hardcover - 2015 - 5th Edition

by Samuels, Myra; Witmer, Jeffrey; Schaffner, Andrew

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  • Hardcover

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Details

  • Title Statistics for the Life Sciences
  • Author Samuels, Myra; Witmer, Jeffrey; Schaffner, Andrew
  • Binding Hardcover
  • Edition number 5th
  • Edition 5
  • Condition Used - Good
  • Pages 648
  • Volumes 1
  • Language ENG
  • Publisher Pearson
  • Date 2015-01
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # 2305H-6597A-1307A
  • ISBN 9780321989581 / 0321989589
  • Weight 2.6 lbs (1.18 kg)
  • Dimensions 10 x 8 x 1.1 in (25.40 x 20.32 x 2.79 cm)
  • Library of Congress subjects Medical statistics, Biometry
  • Library of Congress Catalog Number 2014021107
  • Dewey Decimal Code 570.151

About the author

Myra L. Samuels (late) was an Associate Professor of Biostatistics and Epidemiology in Purdue's Department of Veterinary Pathobiology and Associate Director of Statistical Consulting in the Department of Statistics. She received her PhD in Statistics from the University of California-Berkeley, under Jerzy Neyman, and taught at Purdue for 24 years. Her research was oriented toward issues in biostatistics and included both conceptual issues in mathematical statistics and collaborations on applications. Myra was a member of the American Statistical Association, the Biometric Society, and the Society for Clinical Trials. Dr. Samuels passed away in 1992.


Jeff Witmer is Professor of Mathematics at Oberlin College. He received his PhD in Statistics from the University of Minnesota and taught at the University of Florida before coming to Oberlin. He is a Fellow of the American Statistical Association and an elected member of the International Statistics Institute.


Andrew Schaffner is Professor of Statistics at California Polytechnic State University-San Luis Obispo and faculty statistician for the Environmental Biotechnology Institute. He received his PhD in Statistics from the University of Washington. His research involves statistical applications in environmental monitoring.

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