Statistics for People Who (Think They) Hate Statistics

Author Neil J. Salkind takes students through various statistical procedures, beginning with correlation and graphical representation of data and ending with inferential techniques and analysis of variance. In addition, the text covers SPSS, and includes reviews of more advanced techniques, such as [...]
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Author Neil J. Salkind takes students through various statistical procedures, beginning with correlation and graphical representation of data and ending with inferential techniques and analysis of variance. In addition, the text covers SPSS, and includes reviews of more advanced techniques, such as reliability, validity, introductory non-parametric statistics, and more. Pedagogical features include sidebars offering additional technical information about the topics presented and points that reinforce major themes in the book. Finally, this new edition includes more examples than ever before, an expanded set of exercises at the end of each chapter, expanded data sets for Excel and SPSS, and a new Real World Stats feature which provides an applied example of the content covered in the chapter.