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000728186 020__ $$a9783319191775$$qelectronic book
000728186 020__ $$a3319191772$$qelectronic book
000728186 020__ $$z9783319191768
000728186 0247_ $$a10.1007/978-3-319-19177-5$$2doi
000728186 035__ $$aSP(OCoLC)ocn913864168
000728186 035__ $$aSP(OCoLC)913864168
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000728186 049__ $$aISEA
000728186 050_4 $$aHA29
000728186 08204 $$a300.72/7$$223
000728186 1001_ $$aQuirk, Thomas J.$$eauthor.
000728186 24510 $$aExcel 2013 for social sciences statistics$$h[electronic resource] :$$ba guide to solving practical problems /$$cThomas J. Quirk.
000728186 264_1 $$a[Cham] :$$bSpringer,$$c[2015].
000728186 300__ $$a1 online resource (xv, 257 pages) :$$bcolor illustrations.
000728186 336__ $$atext$$btxt$$2rdacontent
000728186 337__ $$acomputer$$bc$$2rdamedia
000728186 338__ $$aonline resource$$bcr$$2rdacarrier
000728186 4901_ $$aExcel for statistics
000728186 504__ $$aIncludes bibliographical references and index.
000728186 5050_ $$aSample 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.
000728186 506__ $$aAccess limited to authorized users.
000728186 520__ $$aThis 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.
000728186 63000 $$aMicrosoft Excel (Computer file)
000728186 650_0 $$aSocial sciences$$xStatistical methods.
000728186 650_0 $$aSocial sciences$$xStatistical methods$$xComputer programs.
000728186 830_0 $$aExcel for statistics.
000728186 852__ $$bebk
000728186 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-19177-5$$zOnline Access$$91397441.1
000728186 909CO $$ooai:library.usi.edu:728186$$pGLOBAL_SET
000728186 980__ $$aEBOOK
000728186 980__ $$aBIB
000728186 982__ $$aEbook
000728186 983__ $$aOnline
000728186 994__ $$a92$$bISE