Probability

  • A cartoon for use in discussions about the value of using a placebo in an experiment (especially if the results are to be analyzed using a t-test). The cartoon is the work of Theresa McCracken and appears as #6864 on McHumor.com Free for non-profit use in statistics course such as in lectures and course websites.
    View Resource
    0
    No votes yet
  • A cartoon for use in discussions about the value of using a placebo in an experiment. The cartoon is the work of Theresa McCracken and appears as #7813 on McHumor.com Free for non-profit use in statistics course such as in lectures and course websites.
    View Resource
    0
    No votes yet
  • A cartoon for use in discussions about the value of an active learning environment (Showing a traditional lecturer talking to no one and running out of blackboard space on a desert island). The cartoon is the work of Theresa McCracken and appears as #5924 on McHumor.com Free for non-profit use in statistics course such as in lectures and course websites.
    View Resource
    0
    No votes yet
  • A cartoon for use in discussions about how to critique quantitative evidence presented in the media. The cartoon is the work of Theresa McCracken and appears as #7203 on McHumor.com Free for non-profit use in statistics course such as in lectures and course websites.
    View Resource
    0
    No votes yet
  • A cartoon for use by teachers of night statistics classes. The cartoon is the work of Theresa McCracken and appears as #7178 on McHumor.com Free for non-profit use in statistics course such as in lectures and course websites.
    View Resource
    1
    Average: 1 (1 vote)

  • This applet builds confidence intervals for the percentage of orange candies in box with two colors of candies. A smaller box visualizes the sample, and a graph keeps track of the location of the confidence interval. Students can take one sample (producing one CI) repeatedly, or take 100 random samples at once. The population percentage is hidden from view unless the student asks to see it, in which case it is displayed on the graph of confidence intervals. This allows the students to see whether each interval "hits" or "misses". Several parameters can be varied: sample size, confidence level and number of samples. A set of questions alongside the applet guides students.

    View Resource
    0
    No votes yet
  • July 13, 2010 T&L webinar presented by Webster West (Texas A&M University) and hosted by Jackie Miller(The Ohio State University). In introductory statistics courses, web-based applets are often used to visually conduct large simulation studies illustrating statistical concepts. However, it is difficult to determine what (if anything) students learn from repeatedly pressing a button when using applets. More advanced options such as writing/running computer code are typically considered to be much too advanced for most introductory courses. The web-based software package, StatCrunch, now offers simulation capabilities that strike a middle ground between these two extremes. The instructor/student needs only to perform a small number of steps using the menu driven interface with each step being key to understanding the underlying data structure. This talk will cover the steps required to study concepts such as the central limit theorem, confidence intervals, hypothesis testing and regression using StatCrunch.
    View Resource
    0
    No votes yet
  • This issue contains an article that provides an example of a paired samples test related to flying and gliding. It also includes an article about understanding confounding from lurking variables using graphs. Other articles include: a short description about what the t-tests actually tests, an interview with David Moore about why 30 is the "magic" number, a discussion about whether or not outliers should be deleted from a data set, a discussion of observational studies, and a simulation piece about random numbers from non-random arithmetic.
    View Resource
    0
    No votes yet
  • This issue contains an interview with Sallie Keller-McNulty and an article about which came first -- the chicken or the egg. Other articles include a discussion related to an AP Statistics example of seeing the trees for the forest (this focuses on understanding variability between groups and within groups), a discussion of how high r can go, a simulation piece focused on shrinking students, poisoned children, and bootsraps, and an example of a permutation test of the Challenger O-Ring data.
    View Resource
    0
    No votes yet
  • February 8, 2011 T&L webinar presented by Uri Treisman (Charles Dana Center, University of Texas at Austin) and hosted by Jackie Miller (The Ohio State University). Developmental education in America's community colleges has been a burial ground for the aspirations of our students seeking to improve their lives through education. Under the leadership for the Carnegie Foundation for the Advancement of Teaching and the Charles A. Dana Center, nineteen community colleges and systems are building accelerated pathways to and through developmental education with the goal of helping students with low levels of mathematical preparation complete a college credit bearing, transferable statistics course within one year. Uri will describe the work to date, the challenges the initiative faces, and the underlying ideas of improvement science that are driving its development.
    View Resource
    0
    No votes yet

Pages

register