Data Collection

  • 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)

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  • 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.

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  • This joke can be used to motivate class discussions on the assumptions underlying drawing conclusions from data (especially the assumption of stationarity). The joke is a revision of a story in "The Angel's Dictionary: A modern tribute to Ambrose Bierce" by Edmund Volkart - also quoted in "Statistically Speaking: A dictionary of Quotations" by Carl Gaither and Alma Cavazos-Gaither (page 62). The revision (to make the story suitable for classroom use) was written by Dennis Pearl, The Ohio State University.

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  • A cartoon to teach ideas of elementary 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.

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  • A cartoon to teach about confidence intervals. 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.

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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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  • This interactive lecture activity motivates the need for sampling. "Why sample, why not just take a census?" Under time pressure, students count the number of times the letter F appears in a paragraph. The activity demonstrates that a census, even when it is easy to take, may not give accurate information. Under the time pressure measurement errors are more frequently made in the census rather than in a small sample.
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  • By means of a simple story and a worksheet with questions we guide the students from research question to arriving at a conclusion. The whole process is simply reasoning, no formulas. We use the reasoning already done by the student to introduce the standard vocabulary of testing statistical hypotheses (null & alternative hypotheses, p-value, type I and type II error, significance level). Students need to be familiar with binomial distribution tables. After the ducks story is finished, the class is asked to come up with their own research question, collect the data, do the hypotheses testing and answer their own research question. The teaching material is intended to be flexible depending of the time available. Instructors can choose to do just the interactive lecture type, interactive lecture + activity, or even add the optional material.
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