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Lecture/Presentation

  • Slideshow that describes what statistical quality control is and how it is used.
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  • Video that will explain the concepts of attribute and variable data, and procedure for plotting attribute and variable quality control charts & reading different chart patterns.
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  • Provides a link that leads to a direct download of a powerpoint about statistical quality control.
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  • The Census Bureau has made many data visualizations of the data it collects. It is a good collections of maps, treemaps, an age/sex pyramid, and of course more familiar graphs, like bar graphs.
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  • These slides from the 2014 ICOTS workshop describe a minimal set of R commands for Introductory Statistics. Also, it describes the best way to teach them to students. There are 61 slides that start with plotting, move through modeling, and finish with randomization.
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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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  • 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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  • This YouTube channel includes a series of video interviews between John McGready and some of his colleagues from Johns Hopkins University. The videos are meant to highlight the importance of biostatistics as a core driver of public health discovery, the importance of statistical reasoning in the research process, and how the fundamentals that are covered in an introductory biostatistics course are the framework for more advanced methodology.

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  • This hour long radio podcast focuses on stochasticity, or randomness. According the website: "Stochasticity (a wonderfully slippery and smarty-pants word for randomness), may be at the very foundation of our lives. To understand how big a role it plays, we look at chance and patterns in sports, lottery tickets, and even the cells in our own body. Along the way, we talk to a woman suddenly consumed by a frenzied gambling addiction, meet two friends whose meeting seems to defy pure chance, and take a close look at some very noisy bacteria." Several guests appear in this radio podcast, including Deborah Nolan.

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  • Conducting data analysis is like drinking a fine wine. It is important to swirl and sniff the wine, to unpack the complex bouquet and to appreciate the experience. Gulping the wine doesn't work. is a quote by British quantitative cognitive psychologist Daniel B. Wright. The quote is found in his 2003 article "Making friends with your data: Improving how statistics are conducted and reported" in the "British Journal of Educational Psychology", volume 73 page 123-136.
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