This book equips readers with the the fundamental stastistical practices that are essential for organizing, understanding, and drawing conclusions from educational research data. While many books on quantitative methods for edicaution research utilize solely SPSS sofware, this book utilizes both SPSS and Excel as a platform for conducting the discussed statistical analyses. Utilizing applied analyses from the field of education, the author  begins with an introduction to descriptive and inferential statistics and then proceeds to acquaint readers with the various functions (such as spreadsheet navigation, sorting and filtering, and related statistical tools) for working with quantitative data in the Microsoft Excel environment.  Subsequent chapters treat the data procedures commonly-employed in the analysis of educational data, including z-tests; single-sample t-tests; paired sample tests; independent t-tests; single-factor analysis of variance (ANOVA); correlation; regression; factorial ANOVA; and multiple regression. Each procedure is given its own chapter that concludes with a lab exercise that: poses a research question, examines the question by performing that specific chapter's statistical topic of focus in Excel and SPSS, and concludes with a brief research report tha totlines key findings. The use of both Excel and SPSS with all examples ensures the the presented material can be comprehended and worked with by readers regardless of tehir levle of statistical o computational comprehension. Throughout the book, Excel and SPSS screenshots allow readers to visualize the discussed analyses and procedures, and a related Web site features additional data sets, real-world examples, and labs for further practice.