Neil J. Salkind

Statistics for People Who (Think They) Hate Statistics

Neil J. Salkind

Now in its <strong>Seventh Edition</strong>, Neil J. Salkind&rsquo;s bestselling <strong>Statistics for People Who (Think They) Hate Statistics</strong> 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&reg;, 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.&nbsp; The <strong>Seventh Edition</strong> 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&rsquo;t be intimidated by basic statistical tasks.

Statistics for People Who (Think They) Hate Statistics Using R

Neil J. Salkind

Neil J. Salkind&rsquo;s bestselling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an often intimidating subject since it first published in 2000. Now the bestselling SPSS&reg; and Excel&reg; versions are joined by a text for use with the R software, Statistics for People Who (Think They) Hate Statistics Using R . New co-author Leslie A. Shaw carries forward Salkind&rsquo;s signature humorous, personable, and informative approach as the text guides students in a grounding of statistical basics and R computing, and the application of statistics to research studies. The book covers various basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more.&nbsp; &nbsp;