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Graphical Displays

  • Examples of real data/studies and their analyses and interpretation.

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  • RStudio Cloud makes it easy for professionals, hobbyists, trainers, teachers and students to do, share, teach and learn data science using R.  Create analyses using RStudio directly from your browser - there is no software to install and nothing to configure on your computer.  Share your projects - and access those of others - without worrying about data transfer or package installation. Each project defines its own environment, and RStudio Cloud automatically reproduces that environment whenever anyone accesses the project.  It’s easy to share analyses with the world - but it’s also simple to collaborate with a select group in a private space. You control who can enter a space - and via roles, you have fine grained control over what each user can do.  There are also many learning materials available: interactive tutorials covering the basics of data science, cheatsheets for working with popular R packages, links to Datacamp courses, and a guide to using RStudio Cloud.

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  • G*Power is a tool to compute statistical power analyses for many different t tests, F tests, χ2 tests, ztests and some exact tests. G*Power can also be used to compute effect sizes and to display graphically the results of power analyses.

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  • This is a chapter on ethics excerpted from a book on data science. The book is “Modern Data Science with R,” and the authors are Benjamin J. Baumer, Daniel T. Kaplan, and Nicholas J. Horton. The chapter presents several ethical dilemmas, then a framework to use when evaluating ethical issues. Then it discusses the dilemmas again, now resolving them.

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  • A song that may be used in discussing how to describe the distribution seen in a histogram by providing the shape and using statistical measures of location, variability, and deviations from the overall pattern (outliers). The lyrics were written by Mary McLellan from Aledo High School in Aledo, Texas as one of several dozen songs created for her AP statistics course. The song may be sung to the tune of the 2011 pop song We Are Young, by the band Fun. Also, an accompanying video may be found at https://www.youtube.com/watch?v=Kkjlhdc5hlk

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  • This online software allows you to load data and make professional-looking graphs with it. Graph types are basic (scatterplot, line plot, bar charts, etc.), statistical (histograms, box plots), scientific (error bars, heat map, contour), 3D charts, and financial (e.g. time series). Other graphs are available with the paid pro version. Log in is required, which allows you to upload data and save it for next use.

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  • A song to aid in teaching about time series plots and the three principal things to look for in them: long term trends, seasonal or other cyclic patterns, and random fluctuations. The song may to sung to the tune of "You've Got a Friend" by Carole King from her 1971 Tapestry album (and later popularized by James Taylor). The lyrics to the parody were written in 2017 by Dennis K Pearl from Penn State University and Lawrence M Lesser from The University of Texas at El Paso.
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  • A cartoon to be used for discussing the value of data visualizations. The cartoon was used in the August 2016 CAUSE Cartoon Caption Contest. The winning caption was submitted by Barb Osyk from the University of Akron, while the drawing was created by John Landers using an idea from Dennis Pearl. Other honorable mentions that rose to the top of the judging included "I told you exploded pie charts are dangerous!" written by Aaron Profitt from God’s Bible School and College; "Liar liar, data on fire," written by Mickey Dunlap from University of Tennessee at Martin: and "I warned you about using hot deck imputation when you have so much missing data!" written by Elizabeth Stasny, from The Ohio State University. (to use this cartoon with an alternate caption simply download and replace the caption using a bolded comic sans font)
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  • A cartoon to teach about the average and about positive versus negative skew. The cartoon was created by Diane L. Evans from Rose-Human Institute of Technology and won an honorable mention in the CAUSE 2013 A-Mu-sing contest.
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  • A cartoon to use in discussing the importance of indicating the variability associated with any prediction. The cartoon is the work of Theresa McCracken and appears as #5756 on McHumor.com (appearing here with a statistics-based caption change suggested by Dennis Pearl). Free for non-profit use in statistics course such as in lectures and course websites.
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