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## Excel 2007 for Social Science Statistics: A Guide to Solving Practical Problems

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Catalogue Information
Field name Details
Dewey Class 519.5
Title Excel 2007 for Social Science Statistics (EB) : A Guide to Solving Practical Problems / by Thomas J. Quirk.
Author Quirk, Thomas J.
Publication New York, NY : Springer
, 2012.
Physical Details XV, 249 p. 164 illus. in color. : online resource.
ISBN 9781461436225
Summary Note This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively.Â  It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical problems.Â  If understanding statistics isnât your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you.Â  Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses inÂ social scienceÂ courses.Â  Its powerful computational ability and graphical functions make learning statistics much easier than in years past.Â  However, Excel 2007 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 problems.Â  Practice problems are provided at the end of each chapter with their solutions in an appendix.Â  Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.Â :
Contents note Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Random Number Generator -- Confidence Interval About the Mean Using the TINV -- One-Group t-Test for the Mean -- Two-Group t-Test of the Difference of the Means for Independent Groups -- Correlation and Simple Linear Regression -- Multiple Correlation and Multiple Regression -- One-Way Analysis of Variance (ANOVA) -- References -- Appendices -- Index.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site http://dx.doi.org/10.1007/978-1-4614-3622-5
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