A cartoon to teach about the average and about positive versus negative skew. The cartoon was created by Diane L. Evans from Rose-Human Institute of Technology and won an honorable mention in the CAUSE 2013 A-Mu-sing contest.
The conception of chance enters in the very first steps of scientific activity in virtue of the fact that no observation is absolutely correct. I think chance is a more fundamental conception that causality; for whether in a concrete case, a cause-effect relation holds or not can only be judged by applying the laws of chance to the observation. is a quote by German and British nobel prize winning physicist Max Born (1882 - 1970). The quote appears in his 1949 book "Natural Philosophy of Cause and Chance" published by Clarendon Press.
The researcher armed with a confidence interval, but deprived of the false respectability of statistical significance, must work harder to convince himself and others of the importance of his findings. This can only be good. is a quote by British statistician Michael W. Oakes. The quote is found in his 1986 book "Statistical Inference: a Commentary for the Social and Behavioural Sciences" published by John Wiley & Sons.
There is a magic in graphs. The profile of a curve reveals in a flash a whole situation - the life history of an epidemic, a panic, or an era of prosperity. The curve informs the mind, awakens the imagination, convinces. is a quote by Henry David Hubbard (1870-1943) who was the first secretary of the National Bureau of Standards; serving from 1901 to 1938. The quote appears in his introduction to the 1939 book "Graphic Presentation" by William Brinton. The entire one-page essay by Mr. Hubbard is an outstanding description of the value of graphical displays and can be found at http://www.archive.org/stream/graphicpresentat00brinrich#page/2/mode/1up
...making an appeal to the eye when proportion and magnitude are concerned, is the best and readiest method of conveying a distinct idea. is a quote by Scottish political economist William Playfair (1759 - 1823) often credited as the originator of statistical graphics. The quote is found in the preface to his 1801 book "The Statistical Breviary: Shewing, on a Principle Entirely New, The Resources of Every State and Kingdom in Europe" (the book where he introduced the piechart)
A cartoon for use in teaching about the Normal distribution. The cartoon was drawn by Australian epidemiologist Matthew Freeman of the Public Health Information Development Unit at the University of Adelaide. It is free for use on course websites or in the classroom provided author acknowledgement is given (e.g. leave copyright statement on the image). Commercial uses should contact the copyright holder. The cartoon was also published under the title "A visual comparison of normal and paranormal distributions" in the Journal of Epidemiology and Community Health (2006) 60(1):6
If we have data, let's look at data. If all we have are opinions, let's go with mine. is a quote by American entrepreneur James Love Barksdale (1943 - ) former president and CEO of Netscape Communications.
If the experiments be quite simple the question may be without great importance; but when their requirements as to time or expenditure come into account the problem arises, how the observations should be chosen in order that a limited number of them may give the maximum amount of knowledge. is a quote by Danish Statistician Kirstine Smith (1878 - 1939). The quote appears in the introduction to her 1918 article on optimal experimental design in the journal Biometrika (the first such article in the literature).
I don't like the label big data", because that suggests the key measure is how many bits you have available to use. But who cares how much data you have? With too little data, you won't be able to make any conclusions that you trust. With loads of data you will find relationships that aren't real. ... Big data isn't about bits, it's about talent." This is a quote by ZestFinance.com CEO and former Google VP of Engineering Douglas Merrill (1970 -). The quote appeared in his May 1, 2012 blog at Forbes.com.
No generalizing beyond the data, no theory. And no theory, no insight. And if no insight, why do research? is a quote by Canadian Professor of Management Studies Henry Mintzberg (1939 - ), McGill University. The quote appears in his 2005 paper "Developing Theory about the Development of Theory" that appeared in the edited volume "Great Minds in Management: The process of theory development" (K. Smith and M. Hutt, eds.), Oxford University Press.