Excel 2013 for Social Sciences Statistics - A Guide to Solving Practical Problems (Paperback, 1st ed. 2015)

This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science problems. If understanding statistics isn't your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in social science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2013 for Social Science Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand social science problems. Practice problems are provided at the end of each chapter with their solutions in an Appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 167 illustrations in color Suitable for upper undergraduates or graduate students

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Excel for Statistics
Release date:	July 2015
First published:	2015
Authors:	Thomas J. Quirk
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Paperback
Pages:	257
Edition:	1st ed. 2015
ISBN-13:	978-3-319-19176-8
Categories:	Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Computing & IT > Computer software packages > Spreadsheet software > Excel Promotions
LSN:	3-319-19176-4
Barcode:	9783319191768

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