study of the collection, analysis, interpretation, and presentation of data From Wikiquote, the free quote compendium
Statistics is a mathematical science pertaining to the collection, analysis, interpretation and presentation of data.
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"New challenges driven by evolving global technology inspire fresh trends and approaches in teaching statistics in business schools of the 21st century."
Amir Aczel (2012), "Complete Business Statistics", 8th Edition, ISBN: 978-1935938187, p. vii.
In the 1930s English statistical theory was beginning to travel, with contributions from, amongst others, Hotelling and Snedecor in America and Darmois in France, but its home was still in England where there were four important centres: University College London, Rothamsted Experimental Station, Edinburgh University and Cambridge University with University College and Rothamsted far in the lead. Although Cambridge University was slow to adopt modern statistical theory, Cambridge men–Karl Pearson, Edmund Whittaker and Ronald Fisher–had put the other places on the statistical map. University College was the most established centre and its importance went back to 1893 when Karl Pearson, the professor of applied mathematics, first collaborated with Raphael Weldon, the professor of zoology on a subject they called “biometry.” There was a second surge in the “English statistical school” associated with R. A. Fisher who went to work at Rothamsted in 1919.
I wish that people would be persuaded that psychological experiments, especially those on the complex functions, are not improved (by large studies); the statistical method gives only mediocre results; some recent examples demonstrate that. The American authors, who love to do things big, often publish experiments that have been conducted on hundreds and thousands of people; they instinctively obey the prejudice that the persuasiveness of a work is proportional to the number of observations. This is only an illusion.
Alfred Binet (1903). L’Etude experimentale de l’intelligence. Paris: Schleicher Freres and Cie. p. 299; As cited in: Carson (1999, 360)
...the statistician knows...that in nature there never was a normal distribution, there never was a straight line, yet with normal and linear assumptions, known to be false, he can often derive results which match, to a useful approximation, those found in the real world.
George Box (JASA, 1976, Vol. 71, 791-799)
Life in financial markets has got no relation to sigmas. I mean, if everybody who had ever operated in financial markets had never had any concept of standard errors, and so on, they would be a lot better off.
I had been so terrorized by scientific statistics (if ten million people each leave over three grains of rice from their lunch, how many sacks of rice are wasted in one day; if ten million people each economize one paper handkerchief a day, how much pulp will be saved?) that whenever I left over a single grain of rice, whenever I blew my nose, I imagined that I was wasting mountains of rice, tons of paper, and I fell prey to a mood dark as if I had committed some terrible crime. But these were the lies of science, the lies of statistics and mathematics: you can't collect three grains of rice from everybody.
The rise of biometry in this 20th century, like that of geometry in the 3rd century before Christ, seems to mark out one of the great ages or critical periods in the advance of the human understanding.
To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of.
briefly, and in its most concrete form, the object of statistical methods is the reduction of data. A quantity of data, which usually by its mere bulk is incapable of entering the mind, is to be replaced by relatively few quantities which shall adequately represent the whole, or which, in other words, shall contain as much as possible, ideally the whole, of the relevant information contained in the original data.
R.A. Fisher(1922)."On the mathematical foundations of theoretical statistics": 311. DOI:10.1098/rsta.1922.0009.
It is a statistical commonplace that the interpretation of a body of data requires a knowledge of how it was obtained.
Statistics are often the last refuge of the antihumanist.
Shulamith Hareven "No One Asked the Medics" in The Vocabulary of Peace: Life, Culture, and Politics in the Middle East (1995)
I think the essential thing if you want to be a good statistician, as opposed to being a mathematician, is to talk to people and find out what they're doing and why they're doing it.
Statistics are like a bikini. What they reveal is suggestive, but what they conceal is vital.
Aaron Levenstein (1911–1986), quoted by Laurence J. Peter in Quotations for Our Time (1977), requoted in Oxford Essential Quotations (4 ed.) (2016)
Politicians use statistics in the same way that a drunk uses lampposts — for support rather than illumination.
Andrew Lang, in a 1910 speech: as quoted in Alan L. Mackay, The Harvest of a Quiet Eye (1977), and reported in Chambers Dictionary of Quotations (2005), p. 488.
Uncertainty is a personal matter; it is not the uncertainty but your uncertainty.
Dennis Lindley, Understanding Uncertainty (2006)
Without the aid of statistics nothing like real medicine is possible.
According to a University College London study (2014), 40% of women surveyed with severe mental illness had suffered rape or attempted rape in adulthood, and 53% of those had attempted suicide as a result. In the general population, 7% of women had been victims of rape or attempted rape, of whom 3% had attempted suicide. If these statistics don't sound accurate to you, your hesitation or disbelief supports another reality about rape research: Because so many individuals who survive a rape may not report a rape (for a multitude of reasons), statistics have limited meaning.
A statistical procedure is not an automatic, mechanical truth-generating machine.
Paul E. Meehl(1992)."Factors and Taxa, Traits and Types, Differences of Degree and Differences in Kind". Journal of Personality60(1): 143. DOI:10.1111/j.1467-6494.1992.tb00269.x.
While it is easy to lie with statistics, it is even easier to lie without them.
91.7 percent of all statistics are made-up on the spot.
Anonymous
In God we trust. All others must bring data.
Variants: In God we trust. All others must have data. and In God we trust, others must provide data.
Proverbial, variant of "In God we trust. All others (pay) cash.", which dates to at least 1877 US.
Earliest attestation 1978, which already refers to it as a cliche:
I should like to close by citing a well-recognized cliche in scientific circles. The cliche is, "In God we trust, others must provide data."
Effect of Smoking on Nonsmokers: Hearing Before the Subcommittee on Tobacco of the Committee on Agriculture, House of Representatives, Ninety-fifth Congress, Second Session, September 7, 1978, p. 5 (quoting Edwin R. Fisher, brother of Bernard Fisher)
Published as "Test bias: In God we trust, all others must have data." Journal of Special Education, 17(3), 214–268 (1983), DOI: https://doi.org/10.1177/002246698301700303
Later attestation[1] "1984 W. J. Youden Memorial Address: The Key Role of Statisticians in the Transformation of North American Industry", by Brian L. Joiner (at American Statistical Association fall conference), transcript published variously:
We [Statisticians] can show how understanding processes helps provide ways for data-based communication of departmental needs. We can help to eliminate finger-pointing and get down to the facts. "In God we trust. All others must bring data." Or, "Facts often kill a good argument."
Frequently attributed to W. Edwards Deming; it appears in The Deming Management Method, by Mary Walton, 1986, p. 96, without any attribution, to Deming or anyone else:
Chapter 20: Doing It with Data: "In God we trust. All others must bring data." If there is a credo for statisticians, it is that.
To understand God's thoughts we must study statistics, for these are the measure of his purpose.
The true foundation of theology is to ascertain the character of God. It is by the art of statistics that law in the social sphere can be ascertained and codified, and certain aspects of the character of God thereby revealed. The study of statistics is thus a religious service.
Attributed to Florence Nightingale by F.N. David in Games, Gods, and Gambling: A History of Probability and Statistical Ideas, 1962, page 103.
Average a left-hander with a right-hander and what do you get?
Donald Norman, The Design of Everyday Things (1988), Ch. 6, p. 162
With four parameters I can fit an elephant, and with five I can make him wiggle his trunk.
Although its evolution in the United States differed markedly from that of applied mathematics, statistics, too, benefited from the presence of the emigres and from the overall war effort. After a protracted period of professional differentiation from the social scientists and from the social sciences, mathematical statisticians had formed their own society, the Institute of Mathematical Statistics (IMS), in 1935. By 1938, the IMS had also taken over responsibility for the Annals of Mathematical Statistics, a journal that had been founded in 1929 to serve the needs of the more mathematically and theoretically inclined statistical practitioners. Thus, when refugees like Neyman, William Feller, Mark Kac, and Abraham Wald took up positions in the United States at Berkeley, Brown, Cornell, and Columbia, respectively, they were able to participate in a young, but viable, community of mathematical statisticians.
The individual source of the statistics may easily be the weakest link. Harold Cox tells a story of his life as a young man in India. He quoted some statistics to a Judge, an Englishman, and a very good fellow. His friend said, Cox, when you are a bit older, you will not quote Indian statistics with that assurance. The Government are very keen on amassing statistics—they collect them, add them, raise them to the nth power, take the cube root and prepare wonderful diagrams. But what you must never forget is that every one of those figures comes in the first instance from the chowty dar [chowkidar] (village watchman), who just puts down what he damn pleases.
Josiah Stamp, recounting a story from Harold Cox, Some Economic Factors in Modern Life (1929), p. 258.
Thomasina: If there is an equation for a curve like a bell, there must be an equation for one like a bluebell, and if a bluebell, why not a rose? Do we believe nature is written in numbers? Septimus: We do. Thomasina: Then why do your shapes describe only the shapes of manufacture? Septimus: I do not know. Thomasina: Armed thus, God could only make a cabinet.
Far better an approximate answer to the right question, which is often vague, than an exact answer to the wrong question, which can always be made precise.
Variant: "An approximate answer to the right question is worth a great deal more than a precise answer to the wrong question." "as the renowned statistician John Tukey once reportedly said," according to Super Freakonomics page 224.
The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data.
John Tukey(1986)."Sunset salvo". The American Statistician.
The death of one man is a tragedy, the death of millions is a statistic.
Variants: One death is a tragedy. A million deaths is just a statistic. A single death is a tragedy; a million deaths is a statistic. When one dies, it is a tragedy. When a million die, it is a statistic.
This quotation may originate from "Französischer Witz" (1925) by Kurt Tucholsky: "Darauf sagt ein Diplomat vom Quai d'Orsay: «Der Krieg? Ich kann das nicht so schrecklich finden! Der Tod eines Menschen: das ist eine Katastrophe. Hunderttausend Tote: das ist eine Statistik!»" ("To which a Quai d'Orsay diplomat replies: «The war? I can't find it so terrible! The death of one man: that is a catastrophe. One hundred thousand deaths: that is a statistic!»")
Statistical thinking will one day be as necessary for efficient citizenship as the ability to read or write.
The actual quote referenced mathematics in general rather than statistics:
The great body of physical science, a great deal of the essential fact of financial science, and endless social and political problems are only accessible and only thinkable to those who have had a sound training in mathematical analysis, and the time may not be very remote when it will be understood that for complete initiation as an efficient citizen of one of the new great complex world-wide States that are now developing, it is as necessary to be able to compute, to think in averages and maxima and minima, as it is now to be able to read and write. [HG Wells 1911, Mankind in the Making 2041]
According to Tankard: It might be argued that statistics and mathematics were closely related in Wells' mind, and that when he wrote this passage he was to some extent thinking of procedures we would now regard as statistics. That is conjecture, however. Earlier sections of the paragraph deal with arithmetic and geometry, and its literal topic is mathematics. It doesn't contain the word "statistics " even though the term was clearly in use at the time of Well:' writing [Yule 19051].
Statistics is a body of methods for making wise decisions in the face of uncertainty
W. Allen Willis and Harry V. Roberts(1956).Statistics: A New Approach. The Free Press. pp.3.
While nothing is more uncertain than the duration of a single life, nothing is more certain than the average duration of a thousand lives.