Statistics using IBM SPSS : an integrative approach / Sharon Lawner Weinberg and Sarah Knapp Abramowitz.
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TextPublication details: New York : Cambridge University Press, 2015.Edition: 3rd edDescription: xix, 606 pages : illustrations ; 26 cmISBN: - 9781107461222
- 000SA.055 23 W423
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.055 W423 (Browse shelf(Opens below)) | Available | 137476 |
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| 000SA.055 Ug26 Probability and statistics with R / | 000SA.055 V574 Using R for introductory statistics / | 000SA.055 W419 Foundations of statistical algorithms : | 000SA.055 W423 Statistics using IBM SPSS : | 000SA.055 W637 Advanced R / | 000SA.056=397 N712 Avrundning och rekonstruktion av frekvenser | 000SA.06 Ar721 Regression Analysis: a practical introduction/ |
Includes bibliographical references and index.
1. Introduction;
2. Examining univariate distributions;
3. Measures of location, spread, and skewness;
4. Re-expressing variables;
5. Exploring relationships between two variables;
6. Simple linear regression;
7. Probability fundamentals;
8. Theoretical probability models;
9. The role of sampling in inferential statistics;
10. Inferences involving the mean of a single population when sigma is known;
11. Inferences involving the mean when sigma is not known: one- and two-sample designs;
12. Research design: introduction and overview;
13. One-way analysis of variance;
14. Two-way analysis of variance;
15. Correlation and simple regression as inferential techniques; 16. An introduction to multiple regression;
17. Nonparametric methods.
Written in a clear and lively tone, Statistics Using IBM SPSS provides a data-centric approach to statistics with integrated SPSS (version 22) commands, ensuring that students gain both a deep conceptual understanding of statistics and practical facility with the leading statistical software package. With 100 worked examples, the textbook guides students through statistical practice using real data and avoids complicated mathematics. Numerous end-of-chapter exercises allow students to apply and test their understanding of chapter topics, with detailed answers available online. The third edition has been updated throughout and includes a new chapter on research design, new topics (including weighted mean, resampling with the bootstrap, the role of the syntax file in workflow management, and regression to the mean) and new examples and exercises. Student learning is supported by a rich suite of online resources, including answers to end-of-chapter exercises, real data sets, PowerPoint slides, and a test bank.
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