Thomas J. Quirk

Excel 2013 for Social Sciences Statistics

A Guide to Solving Practical Problems

• Broschiertes Buch

Produktbeschreibung

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

Produktdetails

• Excel for Statistics
• Verlag: Springer / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-19176-8
• 1st ed. 2015
• Seitenzahl: 276
• Erscheinungstermin: 24. Juli 2015
• Englisch
• Abmessung: 235mm x 155mm x 15mm
• Gewicht: 473g
• ISBN-13: 9783319191768
• ISBN-10: 3319191764
• Artikelnr.: 42620745

Autorenporträt

Thomas J. Quirk is Professor of Marketing in the Walker School of Business and Technology at Webster University in St. Louis, Missouri, where he teaches Marketing Statistics, Marketing Research, and Pricing Strategies. He holds both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, a B.S. in Mathematics from John Carroll University, and an M.B.A. from the University of Missouri-St. Louis. He researched full-time for six years at the American Institutes for Research in Palo, Alto, California, and the Educational Testing Service in Princeton, New Jersey. Professor Quirk has published over 30 statistics book with Springer, covering fourteen subject areas (business, education, psychology, social science, biological and life sciences, physical sciences, engineering, human resources management, health services management, environmental sciences, and marketing, social work and advertising) using four versions of Excel (2007, 2010, 2013,2016). He has also published over 20 articles in professional journals, and presented more than 20 papers at professional conferences. Quirk holds a B.S. in Mathematics from John Carroll University, both an MA in Education and a Ph.D. in Educational Psychology from Stanford University, and an M.B.A. from the University of Missouri-St. Louis.

Inhaltsangabe

Sample Size, Mean, Standard Deviation and Standard Error of the Mean.- Random Number Generator.- Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing.- 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.

Rezensionen

"This book presents some important features of a powerful software known for its interesting features along with several statistical topics. ... The target audience is primarily students majoring in disciplines other than statistics. ... Each chapter is followed by a good number of exercises very helpful to the students. ... the book would be an excellent reference on the subject." (Morteza Marzjarani, Technometrics, Vol. 58 (2), 2016)