Statistics for people who (think they) hate statistics / Neil J. Salkind, Bruce B. Frey, University of Kansas.
Material type:
TextPublisher: Thousand Oaks, CA : SAGE Publications, Inc., [2020]Copyright date: ©2020Edition: Seventh editionDescription: xxv, 481 pages : illustrations ; 26 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781544381855Subject(s): StatisticsLOC classification: HA29 | .S2365 2020Summary: Now in its Seventh Edition, Neil J. Salkind's bestselling Statistics for People Who (Think They) Hate Statistics with new co-author Bruce B. Frey teaches an often intimidating subject with a humorous, personable, and informative approach that reduces statistics anxiety. With instruction in SPSS(R), the authors guide students through basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more. The Seventh Edition includes new real-world examples, additional coverage on multiple regression and power and effect size, and a robust interactive eBook with video tutorials and animations of key concepts. In the end, students who (think they) hate statistics will understand how to explain the results of many statistical analyses and won't be intimidated by basic statistical tasks.-- from back cover
| Item type | Current location | Collection | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
| Book | Gratia Christian College Library Book Shelves | Print book | HA29 .S2365 2020 (Browse shelf) | Available | 0006269N |
Includes bibliographical references and index (pages 468-481).
Now in its Seventh Edition, Neil J. Salkind's bestselling Statistics for People Who (Think They) Hate Statistics with new co-author Bruce B. Frey teaches an often intimidating subject with a humorous, personable, and informative approach that reduces statistics anxiety. With instruction in SPSS(R), the authors guide students through basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more. The Seventh Edition includes new real-world examples, additional coverage on multiple regression and power and effect size, and a robust interactive eBook with video tutorials and animations of key concepts. In the end, students who (think they) hate statistics will understand how to explain the results of many statistical analyses and won't be intimidated by basic statistical tasks.-- from back cover