How to Think About Statistics
6th edition
Our rough guess is there are 50,500 words in this book.
At a pace averaging 250 words per minute, this book will take 3 hours and 22 minutes to read. With a half hour per day, this will take 7 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.
Word Count
50,500 words, Guess
Page Count
202 pages
Physical Format
Paperback
Identifiers
- Open LibraryOL9493338M
- ISBN-139780716736547
- ISBN-100716736543
- OCLC Control Number41482356
- OCLC Control Number222506387
and 4 more
- Internet Archivehowtothinkabouts00phil_0
- Library of Congress Control Number99034901
- LibraryThing142982
- Goodreads3442847
Classifications
- LCCHA29 .P517 2000
Description
"Everyday we are bombarded with statistics tailored to influence opinions, sell pain relievers, or win votes. John Phillips's How to Think about Statistics is the best guide available for you to make sense of the numbers encountered in the media, at work, or at school.". "Avoiding arcane mathematics and dull computation, Phillips explores the underlying logic of data analysis, explaining basic statistical concepts step by step to show how the numbers are gathered, organized, tested, interpreted - and in some cases, manipulated and misapplied. Concise, accessible, and engaging as always, the new edition has been thoroughly revised and now draws on a broader range of current examples from psychology, politics, business, education, medicine, advertising, sports, and other areas."--BOOK JACKET.
First Sentence
You may be planning to study statistics not because you want to but because you have to.
Subjects
Other Editions
- How to Think About Statistics
Similar Books
An introduction to mathematical statistics and its applications
Richard J. Larsen, Morris L. Marx.
Statistics
Alan Agresti, Chris Franklin, Christine A. Franklin, Megan Mocko, Christine Franklin, Maria Ripol
Elementary statistics.
Robert Russell Johnson, Patricia J. Kuby
Statistics: a first course.
Robert K. Smidt, Donald H. Sanders
Workshop Statistics: Discovery with Data and Minitab and Minitab R14 Set
Beth L. Chance, Allan J. Rossman, Beth Chance
Applied Nonparametric Statistics
Wayne W. Daniel
Kendall's advanced theory of statistics
originally by Sir Maurice Kendall.
Statistics (10th Edition)
Terry Sincich, James T. McClave
Reader Reviews
No reviews yet for this book.
Be the first to share your thoughts!