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Statistics. Thirteenth Edition

Sincich, Terry - Personal Name; McClave, James - Personal Name;

For courses in introductory statistics. A Contemporary Classic Classic, yet contemporary; theoretical, yet applied--McClave & Sincich's Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. This new edition is extensively revised with an eye on clearer, more concise language throughout the text and in the exercises. Ideal for one- or two-semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory. Pearson MyLab Statistics not included. Students, if Pearson MyLab Statistics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. Pearson MyLab Statistics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. Pearson MyLab Statistics is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.


Availability
#
My Library 519.522 Mcc s
19/00406
Available
Detail Information
Series Title
-
Call Number
519.522 Mcc s
Publisher
New York : Pearson., 2018
Collation
892 p. ; 28 cm.
Language
ISBN/ISSN
9781292161556
Classification
519.522
Content Type
-
Media Type
-
Carrier Type
-
Edition
Thirteenth Edition
Subject(s)
STATISTICS
Mathematical statistics
Specific Detail Info
-
Statement of Responsibility
-
Other version/related

No other version available

File Attachment
No Data

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