Statistics for Criminology and Criminal Justice
ISBN-13:
9781412991278
ISBN-10:
1412991277
Edition:
1
Author:
Jacinta M. (Michele) Gau
Publication date:
2012
Publisher:
SAGE Publications, Inc
Format:
Paperback
344 pages
Category:
Applied
,
Criminology
,
Social Sciences
,
Mathematics
FREE US shipping
Book details
ISBN-13:
9781412991278
ISBN-10:
1412991277
Edition:
1
Author:
Jacinta M. (Michele) Gau
Publication date:
2012
Publisher:
SAGE Publications, Inc
Format:
Paperback
344 pages
Category:
Applied
,
Criminology
,
Social Sciences
,
Mathematics
Summary
Statistics for Criminology and Criminal Justice (ISBN-13: 9781412991278 and ISBN-10: 1412991277), written by authors
Jacinta M. (Michele) Gau, was published by SAGE Publications, Inc in 2012.
With an overall rating of 4.1 stars, it's a notable title among other
Applied
(Criminology, Social Sciences, Mathematics) books. You can easily purchase or rent Statistics for Criminology and Criminal Justice (Paperback) from BooksRun,
along with many other new and used
Applied
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $0.4.
Description
Statistics for Criminal Justice is an introductory statistics text for undergraduate criminology and criminal justice majors. The topics and engaging presentation style are targeted to students who have a basic background in algebra but who have had little or no exposure to the study of statistics. The overarching goal for the book is to demonstrate to students both that statistics used in criminal justice can be enlightening and eye-opening and, secondly, that pre-conceived notions of their academic inadequacies coming into the course are false.
The content includes coverage of the fundamental areas in statistics, beginning with descriptive statistics, moving into probability and ending with regression. Emphasis is placed on balancing thoroughness with ease of understanding in order to show students the importance and relevance of statistics.
The content includes coverage of the fundamental areas in statistics, beginning with descriptive statistics, moving into probability and ending with regression. Emphasis is placed on balancing thoroughness with ease of understanding in order to show students the importance and relevance of statistics.
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