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Statistics for the Social Sciences: A General Linear Model Approach
US $13.81
ApproximatelyAU $21.10
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections.
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eBay item number:177110137458
Item specifics
- Condition
- ISBN
- 9781107576971
About this product
Product Identifiers
Publisher
Cambridge University Press
ISBN-10
1107576970
ISBN-13
9781107576971
eBay Product ID (ePID)
240125571
Product Key Features
Number of Pages
601 Pages
Language
English
Publication Name
Statistics for the Social Sciences : a General Linear Model Approach
Publication Year
2017
Subject
Probability & Statistics / General, Statistics, Research & Methodology
Type
Textbook
Subject Area
Mathematics, Social Science, Psychology
Format
Trade Paperback
Dimensions
Item Height
1 in
Item Weight
49.6 Oz
Item Length
10 in
Item Width
8.8 in
Additional Product Features
Intended Audience
College Audience
LCCN
2017-023186
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
Preface; Acknowledgements; List of examples; 1. Statistics and models; 2. Levels of data; 3. Visual models; 4. Central tendency and variability; 5. Linear transformations and z-scores; 6. Probability and CLT; 7. NHSST and z-tests; 8. One-sample t-tests; 9. Paired samples t-tests; 10. Unpaired two-sample t-tests; 11. Analysis of variance; 12. Correlation; 13. Regression; 14. Chi-squared test; 15. Advanced methods; Appendices; Glossary; Answer key; References; Index.
Synopsis
Written by a quantitative psychologist, this textbook explains complex statistics in accessible language to undergraduates in all branches of the social sciences. Built around the central framework of the General Linear Model (GLM), Statistics for the Social Sciences teaches students how different statistical methods are interrelated to one another. With the GLM as a basis, students with varying levels of background are better equipped to interpret statistics and learn more advanced methods in their later courses. Russell Warne makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this book will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice and reflection questions., Written by a quantitative psychologist, this textbook explains complex statistics in accessible language to undergraduates in all branches of the social sciences. Built around the central framework of the General Linear Model (GLM), Statistics for the Social Sciences teaches students how different statistical methods are interrelated to one another. With the GLM as a basis, students with varying levels of background are better equipped to interpret statistics and learn more advanced methods in their later courses. Russell T. Warne makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this book will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice and reflection questions., This mainstream, accessible textbook provides an introduction to statistics using the General Linear Model, a method that shows the interconnectedness of statistical concepts. The textbook is intended for undergraduate social science majors in a one-semester statistics course.
LC Classification Number
QA276.W367 2017
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