PDQ statistics
Our rough guess is there are 43,000 words in this book.
At a pace averaging 250 words per minute, this book will take 2 hours and 52 minutes to read. With a half hour per day, this will take 6 days to read.
How long will it take you?
This book will take an estimated to read at a reading speed averaging words per minute. With 30 minutes per day, this will take to read.
Enter your reading speedYou can take one of our WPM reading speed tests to find your reading speed.
Create a free account to track your reading progress, build your reading list, and set reading goals.
Author
Contributions
- Streiner, David L. - Contributor
Publication
1986 - B.C. Decker, Toronto, Ontario
Language
English
Word Count
43,000 words, Guess
Page Count
172 pages
Identifiers
- Internet Archivepdqstatistics0000norm
- Internet Archivepdqstatistics00geof
- ISBN-100941158926
- ISBN-139780941158923
- Goodreads3074472
and 3 more
- Library of Congress Control Number86071433
- OCLC Control Number15002076
- Open LibraryOL16903492M
Classifications
- LCCQA276
Alternate Titles
- Physicians Data Query statistics.
Description
"PDQ Statistics is your supplemental text to the introductory and advanced statistics courses. Without using algebra, calculus, calculations, or jargon, Professors Norman and Streiner decode biostatistics for you. You don't need a technical dictionary. Nor do you have to do any math. All you need to understand the numbers is PDQ Statistics."--Jacket.
Subjects
Topics
Other Editions
- PDQ statistics
Show 3 more editions
Similar Books
Biostatistics: a foundation for analysis in the health sciences
Wayne W. Daniel.
Basic Statistics And Epidemiology: A Practical Guide
Antony Stewart
Problems and Solutions in Medical Physics
Jeannie Hsiu Ding Wong, Kwan-Hoong Ng, Geoffrey D. Clarke
Nobel laureates in medicine or physiology: a biographical dictionary
edited by Daniel M. Fox, Marcia Meldrum, and Ira Rezak.
Trauma stewardship: an everyday guide to caring for self while caring for others
Laura van Dernoot Lipsky with Connie Burk.
Medicine at the Courts of Europe: 1500-1837
Vivian Nutton
Bad Medicine
Christopher Wanjek
Analyzing Health Data in R for SAS Users
Monika Maya Wahi, Peter Seebach, Monika Wahi
Reader Reviews
No reviews yet for this book.
Be the first to share your thoughts!