000 03776nam a22004335i 4500
001 978-1-4614-5740-4
003 DE-He213
005 20140220082821.0
007 cr nn 008mamaa
008 121205s2013 xxu| s |||| 0|eng d
020 _a9781461457404
_9978-1-4614-5740-4
024 7 _a10.1007/978-1-4614-5740-4
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aMiller, William.
_eauthor.
245 1 0 _aOpenStat Reference Manual
_h[electronic resource] /
_cby William Miller.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aXVIII, 413 p. 213 illus., 183 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aOPENSTAT REFERENCE MANUAL.- PREFACE.- TABLE OF CONTENTS -- INTRODUCTION.- INSTALLING OPENSTAT.- STARTING OPENSTAT.- FILES.- CREATING A FILE.- ENTERING DATA.- SAVING A FILE.- DISTRIBUTIONS.- DESCRIPTIVE ANALYSES.- VERSUS Y PLOTS.- VERSUS MULTIPLE Y PLOT.- CORRELATION.- COMPARISONS.- MULTIVARIATE.- NON-PARAMETRIC.- MEASUREMENT.- STATISTICAL PROCESS CONTROL .- LINEAR PROGRAMMING.- THE ITEM BANKING PROGRAM.- NEURAL NETWORKS.- USING THE PROGRAM.- EXAMPLES -- INDEX.
520 _aThis reference manual for the OpenStat software, an open-source software developed by William Miller, covers a broad spectrum of statistical methods and techniques. A unique feature is its compatibility with many other statistical programs. OpenStat users are researchers and students in the social sciences, education, or psychology, who benefit from the hands on approach to Statistics. During and upon completion of courses in Statistics or measurement, students and future researchers need a low cost computer program available to them, and OpenStat fills this void. The software is used in Statistics courses around the world with over 50,000 downloads per year. The manual covers all functions of the OpenStat software, including measurement, ANOVAS, regression analyses, simulations, product-moment and partial correlations, and logistic regression. The manual is an important learning tool that explains the Statistics behind the many analyses possible with the program and demonstrates these analyses. William Miller has a diverse background in Industrial Technology, Psychology, Statistics and Measurement.  He has taught courses in Electronics, computer programming, educational psychology, measurement and statistics and published many articles in these subject areas  He has taught statistics for over 30 years and developed a number of statistical packages for free use by educators and researchers in a variety of fields including education, psychology, medicine, economics and geology.  He received his PhD. from the University of Iowa in Educational Psychology, Statistics and Measurement.  His academic experiences include director of two university computing centers, director of a counseling center and assistant to a university president for information services in addition to his teaching.
650 0 _aStatistics.
650 0 _aMathematical statistics.
650 1 4 _aStatistics.
650 2 4 _aStatistics, general.
650 2 4 _aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
650 2 4 _aStatistical Theory and Methods.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461457398
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-5740-4
912 _aZDB-2-SMA
999 _c95489
_d95489