Sorry, you need to enable JavaScript to visit this website.

Resource Library

Statistical Topic

Advanced Search | Displaying 181 - 190 of 284
  • Normal is the average of deviance is a quote by American writer and political activist Rita Mae Brown (1944 - ). The quote may be found on page 126 of her 1993 novel "Venus Envy", spoken by the main character Mary Frazier Armstrong.
    0
    No votes yet
  • It is a common error to infer that things which are consecutive in the order of time have necessarily the relation of cause and effect. is a quote by American botanist and medical educator Jacob Bigelow (1787 - 1879). The quote appears on page 41 of his 1859 book "Nature in Disease: illustrated in various discourses and essays".
    0
    No votes yet
  • I remember my friend Johnny von Neumann used to say, with four parameters I can fit an elephant, and with five I can make him wiggle his trunk. includes the quote attributed to Hungarian-American mathematician John von Neumann (1903 - 1957). The full quote was relayed by Enrico Fermi in 1953 when he was asked about the value of a result that used four free parameters in fitting experimental results. (see "A meeting with Enrico Fermi" "Nature" 427: p. 297.)
    0
    No votes yet
  • This anecdote about luck and the horseshoe is found in "Bartlett's Book of Anecdotes" (2000: page 68).
    0
    No votes yet
  • Statistics educators are keenly aware of the value of using real data to help students see the relevance and applicability of statistics. The federal statistical agencies have invested in significant efforts to make data accessible and available. In this webinar, Ron Wasserstein will point you to these resources, discussing their uses and limitations.
    0
    No votes yet
  • Always expect to find at least one error when you proofread your own statistics. If you don't, you are probably making the same mistake twice. Quote of american demographer Cheryl Russell appearing in "Rules of Thumb" by Tom Parker (Houghton Mifflin, 1983) p. 124. Also to be found in "Statistically Speaking the dictionary of quotations" compiled by Carl Gaither and Alma Cavazos-Gaither p. 81
    0
    No votes yet
  • Submitting your spotlight presentation from USCOTS 2005 to CAUSEweb is an easy process, and you are in a prime position to submit your work! What better way to have your work showcased than in a peer-reviewed repository of contributions to statistics education? This Webinar will be an opportunity to talk about how to prepare your USCOTS spotlight for submission to CAUSEweb and to discuss the benefits of submission. Please join us to discuss how to put the spotlight on CAUSEweb.
    0
    No votes yet
  • This applet demonstrates the Binomial distribution by simulating Galton's Board, dropping balls through a triangular array of nails. When a ball hits a nail, it has a 50 percent chance of falling to the left or the right. Because Galton's Board consists of a series of experiments, the piles under the board are the sum of n random variables, where n is the number of rows of nails on the board.
    0
    No votes yet
  • 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 these figures comes in the first place from the `chowty dar` [village watchman], who just puts down what he damn pleases." Quoted from "Some Economic Factors in Modern Life" (King and Son, 1929; p. 258) by Sir Josiah Charles Stamp (1880 - 1941), British economist, statistician, director of the Bank of England and president of the Royal Statistical Society.
    0
    No votes yet
  • This textbook for medical statistics covers many topics such as: Data display and summary; Mean and standard deviation; Populations and samples; Statements of probability and confidence intervals; Differences between means: type I and type II errors and power; Differences between percentages and paired alternatives; The t tests; The chi-squared tests; Exact probabilty test; Rank score tests; Correlation and regression; Survival analysis; Study design and choosing a statistical test.
    0
    No votes yet

Pages

list