1 item has been added to your cart.
Introduction to Social Statistics: The Logic of Statistical Reasoning |
||||||||||||||||||||||||||||||||||||
 Click to enlarge See the back cover |
As an Amazon Associate, StataCorp earns a small referral credit from
qualifying purchases made from affiliate links on our site.
VitalSource eBook details
VitalSource eBooks are read using the Bookshelf How to access your eBook1) Visit Bookshelf online to sign in or create an account.
2) Once logged in, click redeem in the upper right corner. Enter your eBook code. Your eBook code will be in your order confirmation email under the eBook's title.
3) The eBook will be added to your library. You may then download Bookshelf on other devices and sync your library to view the eBook.
Bookshelf is available on the following:
Bookshelf allows you to have 2 computers and 2 mobile devices activated at any given time.
I was amazed at the VitalSource way of presenting the books....
Everything looks perfectly typeset, but yet you can "flip"
through the book in the same way you would "flip" through a very
long web page in your web browser. And best of all, whenever I
have my tablet with me, my books are just a swipe away.
— Michael Mitchell
Senior statistician at the USC Children's Data Network, author of four Stata Press books, and former UCLA statistical consultant who envisioned and designed the UCLA Statistical Consulting Resources website. Return policy for eBooksStata Press eBooks are nonreturnable and nonrefundable. ×eBook not available for this title |
|
||||||||||||||||||||||||||||||||||
Comment from the Stata technical groupIn Introduction to Social Statistics: The Logic of Statistical Reasoning, Thomas Dietz and Linda Kalof present and expand on standard introductory statistics. They detail how statistical concepts have or could relate to everyday events, such as studies of crime versus poverty or treaty participation. The authors take their time exposing each new topic and are not shy about delving into ancillary topics, such as profiling famous statisticians or exploring the role of women in the field of statistics. Such discussions are boxed in grey to readily set them apart from the main discussion. Dietz and Kalof cover various topics, including describing and displaying univariate data, plotting relationships between variables, probability, sampling distributions, estimation, confidence intervals, hypothesis tests, ANOVA, contingency tables, and regression. |
||||||||||||||||||||||||||||||||||||
Table of contentsView table of contents >> |
||||||||||||||||||||||||||||||||||||
 |
 |
 |
 |
 |
 |
)