Graduate students

  • Probability is expectation founded upon partial knowledge. is a quote by George Boole (1815 - 1864) - the English logician and philosopher for whom Boolean logic is named. The quote is found in chapter 16 of his 1853 book "An Investigation of the Laws of Thought". The book can be found on-line through the Gutenberg project at www.gutenberg.org/etext/15114.

    0
    No votes yet
  • Everything existing in the universe is the fruit of chance and necessity. is a quote by ancient Greek philosopher Democritus (460 B.C.E. - 360 B.C.E.).

    0
    No votes yet
  • The errors which arise from the absence of facts are far more numerous and more durable than those which result from unsound reasoning respecting true data. is a quote by English Mathematician and inventor Charles Babbage (1791 - 1871). The quote is found on page 119 of his book "On the Economy of Machinery and Manufactures" (1832)

    0
    No votes yet
  • 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. is a quote from Florence Nightingale David (1909 - 1993). The quote appears at the end of an interview published in "Statistical Science" in 1989 (p. 235-246) in response to a question from Nan Laird asking for advice for practicing statisticians.

    0
    No votes yet
  • A cartoon to teach ideas of conditional probability. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University) in 2008. Free to use in the classroom and on course web sites.

    4
    Average: 4 (1 vote)
  • A cartoon to teach ideas of probability ad the Law of Large Numbers. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). Free to use in the classroom and on course web sites.

    4
    Average: 4 (1 vote)
  • This activity uses student's own data to introduce bivariate relationship using hand size to predict height. Students enter their data through a real-time online database. Data from different classes are stored and accumulated in the database. This real-time database approach speeds up the data gathering process and shifts the data entry and cleansing from instructor to engaging students in the process of data production.

    0
    No votes yet
  • The t-distribution activity is a student-based in-class activity to illustrate the conceptual reason for the t-distribution. Students use TI-83/84 calculators to conduct a simulation of random samples. The students calculate standard scores with both the population standard deviation and the sample standard deviation. The resulting values are pooled over the entire class to give the simulation a reasonable number of iterations. This document provides the instructor with learning objectives, context, mechanics, follow-up, and evidence from use associated with the in-class activity.
    0
    No votes yet
  • This dataset contains information on temperature, precipitation, and weather stations for 48 states. The data is available in Excel and rich text formats.
    0
    No votes yet
  • This applet generates confidence intervals for means or proportions. The options for confidence intervals for means include "z with sigma," "z with s," or "t." The options for confidence intervals for proportions are "Wald," "Adjusted Wald," or "Score." Users set the population parameters, sample size, number of intervals, and confidence level. Click "Sample," and the applet will graph the intervals. Intervals shown in green contain the true population mean or proportion, while intervals in red do not. The true mean or proportion is shown by a blue line. The applet displays the proportion of intervals containing the population parameter for each sample and a running total of all the samples. Users can also click on a particular interval to display the numerical interval or sort the displayed confidence intervals from smallest to largest. This applet is part of a collection designed to accompany the textbook "Investigating Statistical Concepts, Applications, and Methods" (ISCAM) and is used in Exploration 4.3 on page 327, Investigation 4.3.6 on page 331, and Exploration 4.4 on page 350. This applet also supplements "Workshop Statistics: Discovery with Data," 2nd edition, Activity 19-5 on page 403. Additional materials written for use with these applets can be found at http://www.mathspace.com/NSF_ProbStat/Teaching_Materials/rowell/final/16_cireview_bc322_2.doc and http://www.mathspace.com/NSF_ProbStat/Teaching_Materials/rowell/final/15_sampdistreview_bc322_1.doc.
    0
    No votes yet

Pages