Simulation

  • Descriptions, examples, and online calculators for a variety of statistical concepts. Includes One-Way Anova, Tukey's Post Hoc Test, and much, much more.
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  • As mentioned on the home page of this resource "This site presents workbook-style, project-based material that emphasizes real world applications and conceptual understanding. This material is designed to give students a sense of the importance and allure of statistics early in their college career. By incorporating many of the successful reforms of the introductory statistics course into a wide range of more advanced topics we hope that students in any discipline can realize the intellectual content and broad applicability of statistics."

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  • I'd Like to Teach the World to Think is a parody of the 1971 hit single "I'd Like to Teach the World to Sing (in perfect harmony)" by the New Seekers. The music for the song was also made famous in a series of Coca-Cola advertisements that have run for decades. The parody may be used in teaching the value of collecting data, especially to improve reliability and the need to assume the null hypothesis is true in carrying out a significance test. Lyrics by Dennis Pearl (The Ohio State University) with assistance from Lawrence Mark Lesser (University of Texas at El Paso). Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
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  • Amidst the strange vicissitudes of life, 'tis likely, most unlikely things should happen is a quote by Greek poet Agathon (448-400 BC). The quote is mentioned in Aristotle's (384 - 322 BC) book "Rhetoric". This version of the quote is found on page 357 of the 1823 "A New Translation of Aristotle's Rhetoric" by John Gillies.
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  • In this video (which lasts almost 20 minutes), statistics guru Hans Rosling debunks myths about the so-called "developing world."
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  • March 23, 2010 Activity webinar presented by John Gabrosek & Paul Stephenson, Grand Valley State University and hosted by Leigh Slauson, Capital University. GOLO is a dice-based golf game that simulates playing a round of golf. GOLO can be used to illustrate basic probability concepts, descriptive summaries for data, discrete probability distributions, order statistics, and game theory. Participants had a chance to play the online version of GOLO.
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  • This is my take on the ubiquitous M&Ms counting activity. Each student records the color proportions in a fun-size bag of M&Ms. We pool the class data and run a Chi-Square goodness-of-fit test to determine whether or not the color proportions match those claimed on the manufacturer's website. We consistently find that the proportions do not match. The blue M&Ms, in particular, are underrepresented. This activity also includes a review of the 1-proportion z confidence interval.

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  • This activity is an example of Cooperative Learning in Statistics. It 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. Key words: Regression, correlation data collection, body measurements
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  • This activity makes use of a campus-based resource to develop a "capstone" project for a survey sampling course. Students work in small groups and use a complex sampling design to estimate the number of new books in the university library given a budget for data collection. They will conduct a pilot study using some of their budget, receive feedback from the instructor, then complete data collection and write a final report.
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  • 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.

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