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Second Course in Statistics : Regression Analysis, 7th, Mendenhall, Sincich
US $30.00
ApproximatelyS$ 38.54
Condition:
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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Shipping:
US $6.72 (approx S$ 8.63) USPS Media MailTM.
Located in: Brooklyn, New York, United States
Delivery:
Estimated between Wed, 10 Sep and Mon, 15 Sep to 94104
Returns:
No returns accepted.
Coverage:
Read item description or contact seller for details. See all detailsSee all details on coverage
(Not eligible for eBay purchase protection programmes)
Seller assumes all responsibility for this listing.
eBay item number:256735781731
Item specifics
- Condition
- ISBN
- 9780321691699
About this product
Product Identifiers
Publisher
Pearson Education
ISBN-10
0321691695
ISBN-13
9780321691699
eBay Product ID (ePID)
106122994
Product Key Features
Number of Pages
816 Pages
Language
English
Publication Name
Second Course in Statistics : Regression Analysis
Publication Year
2011
Subject
Probability & Statistics / General, Probability & Statistics / Regression Analysis, Statistics
Features
Revised
Type
Textbook
Subject Area
Mathematics, Business & Economics
Format
Hardcover
Dimensions
Item Height
1.4 in
Item Weight
53.3 Oz
Item Length
10.2 in
Item Width
7.9 in
Additional Product Features
Edition Number
7
Intended Audience
College Audience
LCCN
2010-000433
Dewey Edition
23
TitleLeading
A
Illustrated
Yes
Dewey Decimal
519.5/36
Edition Description
Revised edition
Synopsis
A Second Course in Statistics: Regression Analysis, Seventh Edition , focuses on building linear statistical models and developing skills for implementing regression analysis in real situations. This text offers applications for engineering, sociology, psychology, science, and business. The authors use real data and scenarios extracted from news articles, journals, and actual consulting problems to show how to apply the concepts. In addition, seven case studies, now located throughout the text after applicable chapters, invite readers to focus on specific problems. KEY TOPICS: A Review of Basic Concepts (Optional); Introduction to Regression Analysis; Simple Linear Regression; Multiple Regression Models; Principles of Model Building; Variable Screening Methods; Some Regression Pitfalls; Residual Analysis; Special Topics in Regression (Optional); Introduction to Time Series Modeling and Forecasting; Principles of Experimental Design; The Analysis of Variance for Designed Experiments; Derivation of the Least Squares Estimates of ?0 and ?1 in Simple Linear Regression; The Mechanics of a Multiple Regression Analysis; A Procedure for Inverting a Matrix; Statistical Tables; File Layouts for Case Study Data Sets MARKET: For all readers interested in statistics., A Second Course in Statistics: Regression Analysis, Seventh Edition , focuses on building linear statistical models and developing skills for implementing regression analysis in real situations. This text offers applications for engineering, sociology, psychology, science, and business. The authors use real data and scenarios extracted from news articles, journals, and actual consulting problems to show how to apply the concepts. In addition, seven case studies, now located throughout the text after applicable chapters, invite readers to focus on specific problems., The Second Course in Statistics is an increasingly important offering since more students are arriving at college having taken AP Statistics in high school. Mendenhall/Sincich's A Second Course in Statistics is the perfect book for courses that build on the knowledge students gain in AP Statistics, or the freshman Introductory Statistics course. A Second Course in Statistics: Regression Analysis, Seventh Edition , focuses on building linear statistical models and developing skills for implementing regression analysis in real situations. This text offers applications for engineering, sociology, psychology, science, and business. The authors use real data and scenarios extracted from news articles, journals, and actual consulting problems to show how to apply the concepts. In addition, seven case studies, now located throughout the text after applicable chapters, invite students to focus on specific problems, and are suitable for class discussion.
LC Classification Number
HF1017.M46 2012
Item description from the seller
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