Category: Randy Bartlett
Blog 9: Statistics Denial Myths #5-6, Mischaracterizing Statistical Significance
29 Sep, 2015Myth #5 builds upon the old confusion around significance testing that comprises this second ‘ancient’ myth (#6). Suppose that you …
Blog 8: Statistics Denial Myth #4, Rebranding Predictive Modeling
8 Sep, 2015This blog discusses the ambition of rebranding predictive modeling as predictive analytics; and why this will enlarge the coming flood …
Blog 7: Statistics Denial Myth #3, Repackaging Statistics With Straddling Terms
3 Aug, 2015Repackaging statistics with complementary fields has the potential to create new synergies. E.g., econometrics is the marriage of economics and …
Blog 6: Statistics Denial Myth #2, Traditional Practice Straw Man
27 Jul, 2015Myth #2: Statisticians (and other quants), work within ‘traditional statistics’ The myth that statisticians only practice within ‘traditional statistics’ removes …
Blog 5: Statistics Denial, Myth #1: Traditional Techniques Straw Man [Blog Series]
20 Jul, 2015The current buzz about big data and data science is generating interest and a sense of urgency. Â However, the promotional …
Blog 4: Statistics Denial, Best Statistical Practice [Blog Series]
14 Jul, 2015For more than a century, applied statisticians/quants have refined their accumulated wisdom in extracting information from numbers with uncertainty and …
Statistics Denial, Applied Statistics Is A Way Of Thinking, Not Just A Toolbox [Blog Series]
6 Jul, 2015[pullquote cite=”Kevin Gray” type=”right”]I think, I probably am.[/pullquote]Applied statistics provides our way of thinking and our approach to extracting the …
Essays On Statistics Denial [Blog Series]
22 Jun, 2015UFO sightings, where do they all come from? Astronomers spend an inordinate amount of time scouring the skies. However, as …
Preparing For The Coming Flood… Of Statistical Malfeasance
19 Jun, 2015Identifying & Understanding Statistics Problems [pullquote cite=”W. Edwards Deming” type=”right”]The nonstatistician cannot always recognize a statistical problem when he sees …