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- Author: Neil J Salkind
- Publisher: SAGE Publications, Inc
- ISBN-10: 1544381859
- ISBN-13: 9781544381855
- Format: 17.5 x 25.2 x 3.1 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Statistics for People Who (Think They) Hate Statistics (e-book) (used book) | bookbook.eu
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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.
EXTRA 10 % discount with code: EXTRA
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- Author: Neil J Salkind
- Publisher: SAGE Publications, Inc
- ISBN-10: 1544381859
- ISBN-13: 9781544381855
- Format: 17.5 x 25.2 x 3.1 cm, softcover
- Language: English English
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.
Reviews