Descriptive statistics, inferential statistics, rhetorical statistics
Peter van den Besselaar · Journal of the American Society for Information Science and Technology · 2003
Cited by 3
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About 10,000 papers for “Statistics”
Peter van den Besselaar · Journal of the American Society for Information Science and Technology · 2003
Cited by 3
Jay S. Kaufman · American Journal of Law & Medicine · 2017
Statistical adjustment is a ubiquitous practice in all quantitative fields that is meant to correct for improprieties or limitations in observed data, to remove the influence of nuisance variables or to turn observed correlations into causal inferences. These adjustments proceed by reporting not what was observed in the real world, but instead modeling what would have been observed in an imaginary world in which specific nuisances and improprieties are absent. These techniques are powerful and useful inferential tools, but their application can be hazardous or deleterious if consumers of the adjusted results mistake the imaginary world of models for the real world of data. Adjustments require decisions about which factors are of primary interest and which are imagined away, and yet many adjusted results are presented without any explanation or justification for these decisions. Adjustments can be harmful if poorly motivated, and are frequently misinterpreted in the media's reporting of scientific studies. Adjustment procedures have become so routinized that many scientists and readers lose the habit of relating the reported findings back to the real world in which we live.
Cited by 68
Scf Librarians · 2012
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Margaret Fisher · 2005
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Michelle Morton · 2014
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Hasan, Mariwan · RePEc: Research Papers in Economics
Opportunity Development Development Digital Pre-Information Fractional calculus Disemination Statistics Programming Digital Pre-Authors Internet Research Social Sciences Online Business Social Sciences Inter-Invited Journal Flamholtz CapituloTechnology Investigate Digital Authors Technology Pre-Authors Digital Investigate Inter-Disemination Internet Investigate
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1996
To reduce the size of this section's PostScript file, we have divided it into three PostScript files. We present the following index:
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Joyce Davis · 2010
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Ryer Banta · 2014
A guide to help you find statistics on a variety of topics, from a variety of sources Statistical information on countries of the world
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Allen B. Rawitch · Science · 1999
A. Rawitch describes his tests of the sophisticated and comprehensive statistical package for data analysis, SYSTAT 8.0.
Cited by 7
George McAlister · 2016
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Anna Harper · 2017
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Paul Streby · 2015
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1996
To reduce the size of this section's PostScript file, we have divided it into three PostScript files. We present the following index:
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David Lane · CSUN ScholarWorks (California State University, Northridge) · 2016
This 'is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.'\n\n 'This first chapter begins by discussing what statistics are and why the study of statistics is important. Subsequent sections cover a variety of topics all basic to the study of statistics. One theme common to all of these sections is that they cover concepts and ideas important for other chapters in the book.'
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Fiona Munroe · 2011
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Fiona Munroe · 2011
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Nslhd Libraries · 2020
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Lorna McNally · 2015
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Anthony Rice · 2010
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