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portada Excel 2010 for Educational and Psychological Statistics: A Guide to Solving Practical Problems
Type
Physical Book
Publisher
Year
2011
Language
English
Pages
243
Format
Paperback
ISBN
1461420709
ISBN13
9781461420705
Edition No.
2012

Excel 2010 for Educational and Psychological Statistics: A Guide to Solving Practical Problems

Thomas J. Quirk (Author) · Springer · Paperback

Excel 2010 for Educational and Psychological Statistics: A Guide to Solving Practical Problems - Thomas J. Quirk

Physical Book

£ 57.84

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Synopsis "Excel 2010 for Educational and Psychological Statistics: A Guide to Solving Practical Problems"

Excel has become an important and nearly ubiquitous classroom and office resource for students and practitioners who are faced with solving statistical problems on an everyday basis. Despite this, there has yet to emerge a truly practical, “how-do-I-do-it” manual that teaches the various applications and processes/formulas for Excel  in educational and psychological Statistics. Quirk’s Excel 2010 for Educational and Psychological Statistics will fill this void, as it is designed to be a step-by-step, exercise-driven guide for education and psychology students who need to master Excel to create  formulas and solve statistical problems.    Each chapter first explains briefly the formulas that are included in the chapter, and then directs the student on  how to use Excel commands and formulas to solve a specific business problem.  Three practice problems are provided at the end of each chapter, along with their solutions in an Appendix.  At the end of the Excel Guide, an additional Practice Exam allows the reader to test his or her understanding of each chapter by attempting to solve a specific educational or psychometrical issue or problem using Excel (the solution to this problem is also given in an Appendix).  From the beginning of the book, readers/students are taught how to write their own formulas and then how to utilize Excel drop-down formula menus as well for such exercises involving one-way ANOVA, simple linear regression, and multiple correlation.​

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