Data Presentation

  • "The Empassioned Statistician" is a poem by Scottish poet Eveline Pye from Glasgow Caledonin University. The poem was originally published in the June 2016 issue of the Bridges Poetry Anthology. "The Empassioned Statistician" was written to honor English social reformer and statistician Florence Nightingale, the first women granted membership in the Royal Statistical Society. May be used in classroom discussions of the importance of data in illuminating real world issues.

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  • This case study starts by the simple comparison of the prices of houses with and without fireplaces and extends the analysis to examine other characteristics of the houses with fireplace that may affect the price as well. The intent is to show the danger of using simple group comparisons to answer a question that involves many variables. The lesson shows the R code for doing this analysis; however, the data and the model could be used with another statistical software.

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  • This complete lesson plan, which includes assessments, is based upon a data set partially discussed in the article "Female Hurricanes are Deadlier than Male Hurricanes." The data set contains archival data on actual fatalities caused by hurricanes in the United States between 1950 and 2012. Students analyze and explore this hurricane data in order to formulate a question, design and implement a plan to collect data, analyze the data by measures and graphs, and interpret the results in the context of the original question.
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  • The STatistics Education Web, also called STEW, is an online collection of peer-reviewed statistics lesson plans for K-12 teachers. The web site is maintained by the ASA and accessible to K-12 teachers throughout the world. Lessons cover a wide range of probability and statistics topics.
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  • The textbook website for "Statistics: The Art & Science of Learning from Data," by Agresti, Franklin and Klingenberg, has a collection of Shiney Apps for visualizing statistical concepts. There are usable on computers, tablets and smart phones. Apps include Exploratory Analysis, Random Numbers, Association and Linear Regression, Distributions, Probabilities, Sampling distributions, Central Limit Theorem,, Inferential Methods (one and two samples), ANOVA, and Bootstrap Confidence Intervals & Permutation Tests.
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  • The textbook, "Statistics: Unlocking the Power of Data," by Lock, Lock, Lock, Lock, and Lock, webpage has a collection of data sets which are used in their textbook. Even without the textbook, the variables are well named, and it is relatively easy to tell what the variables represent.
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  • "Data Mining" is a poem by Scottish poet Eveline Pye from Glasgow Caledonin University. The poem was originally published in 1991 in the international literary journal Orbis. "Data Mining" might be used in course discussions about descriptive measures and graphics that help to illuminate a story arising from data.
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  • A cartoon to be used for discussing how outliers can have an influential effect on statistics. The cartoon was used in the June 2016 CAUSE Cartoon Caption Contest. The winning caption was submitted by Albert Koenig, a student at Belgrade High School. The drawing was created by John Landers using an idea from Dennis Pearl. Other ideas for using this cartoon in teaching include focusing on assumptions (do we really know the team with the tallest player is ahead?); the selection of the best measure to summarize data (mean, median, or maximum in this case); or on the importance of variability in understanding data.
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  • This webpage provides an active learning lesson for linear regression. Resources include an in-class student activity sheet for two different levels of classes (Algebra I and Junior), a PowerPoint showing faces of famous people, and sheet with updated (to the end of current year) actual ages of the celebrities.
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  • "Information is the oil of the 21st century, and analytics is the combustion engine." A quote by Peter Sondergaard (1965 - ), senior vice president and global head of Research at Gartner, Inc. The quote may be used in discussing the importance of data and data analytics. The quote came from a speech given by Mr. Sondergaard at the Gartner Symposium/ITxpo in October, 2011 in Orlando, Florida.
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