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A Second Course in Statistics: Regression Analysis
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A Second Course in Statistics: Regression Analysis Hardcover -

by William Mendenhall; Terry Sincich


Details

  • Title A Second Course in Statistics: Regression Analysis
  • Author William Mendenhall; Terry Sincich
  • Binding Hardcover
  • Pages 848
  • Volumes 1
  • Language ENG
  • Publisher Pearson
  • ISBN 9780135163795 / 013516379X
  • Weight 3.8 lbs (1.72 kg)
  • Dimensions 10.25 x 8.3 x 1.7 in (26.04 x 21.08 x 4.32 cm)
  • Library of Congress subjects Statistics, Commercial statistics
  • Library of Congress Catalog Number 2018040176
  • Dewey Decimal Code 519.536

About the author

About our Authors

Dr. William Mendenhall (deceased) was the founding chairman of the statistics department at the University of Florida and served the department from 1963 until 1977. Dr. Mendenhall received his Ph.D. in statistics from North Carolina State University and was a professor of mathematics at Bucknell University before teaching at UF. Best known as a prolific textbook author in statistics, his text Introduction to Probability and Statistics has been used throughout the United States and the rest of the world as a canonical introduction to the subject. Dr. Mendenhall retired as professor emeritus in 1978 and continued his textbook writing up until his death in 2009.

Dr. Terry Sincich obtained his Ph.D. in Statistics from the University of Florida in 1980. He is an Associate Professor in the Information Systems & Decision Sciences Department at the University of South Florida in Tampa. Dr. Sincich is responsible for teaching basic statistics to all undergraduates, as well as advanced statistics to all doctoral candidates, in the Muma College of Business. He has published articles in such journals as the Journal of the American Statistical Association, International Journal of Forecasting, Academy of Management Journal, and Auditing: A Journal of Practice & Theory. Dr. Sincich is a co-author of the texts Statistics, Statistics for Business & Economics, Statistics for Engineering & the Sciences, and A Second Course in Statistics: Regression Analysis.

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