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  • This presentation is a part of a series of lessons on the Analysis of Categorical Data.  This lecture overs the following: covariance patterns and generalized estimating equations (GEE). 

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  • This presentation is a part of a series of lessons on the Analysis of Categorical Data. This lecture covers the following: sparse tables, sampling zeros, structural zeros, and log-linear model (and limitations).

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  • This article describes an activity that illustrates contingency table (two-way table) analysis. Students use contingency tables to analyze the "unusual episode" (the sinking of the ocean liner Titanic)data (from Dawson 1995) and attempt to use their analysis to deduce the origin of the data. The activity is appropriate for use in an introductory college statistics course or in a high school AP statistics course. Key words: contingency table (two-way table), conditional distribution

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  • A cartoon to use when talking about confidence intervals. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). Free to use in the classroom and on course web sites.
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  • The best way to predict the future is to invent it. This is a quote by American computer scientist Alan C. Kay (1940 - ). The quote was said at a 1971 meeting of Xerox Corporation's Palo Alto Research Center.
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  • The same set of statistics can produce opposite conclusions at different levels of aggregation. is a quote useful in teaching about Simpson's Paradox from American Economist Thomas Sowell (1930 - ). The quote may be found on page 102 of his 1996 book "The vision of the Anointed: Self-Congratulation As a Basis for Social Policy". The quote may also be found at the science history website www.todayinsci.com.
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  • In this module you will have the opportunity to explore the frequency of different types of residential moves carried out by Americans. You will examine some of the basic determinants of residential mobility by looking at variations in different types of mobility by age, marital status, education, and housing tenure. Finally, you will have an opportunity to test hypotheses, drawn from a popular theoretical perspective, about racial differences in residential mobility.
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  • As discussed, the murder rates for Blacks in the United States are substantially higher than those for Whites, with Latino murder rates falling in the middle. These differences have existed throughout the 20th and into the 21st century and, with few exceptions, are found in different sections of the United States. Although biological and genetic explanations for racial differences in crime rates, including murder, have been discredited and are no longer accepted by most criminologists, both cultural and structural theories are widespread in the literature on crime and violence. It is also important to remember that Latino is an ethnic rather than a racial classification. The point of this exercise is to examine differences in selected structural positions of Blacks, Whites and Latinos in the United States that may help explain long-standing differences in their murder rates.
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  • This activity uses Microsoft Excel for a simulation of probability concepts. The Excel file and handouts are provided. Students will explore the concept of independent events, sample spaces, equally likely probabilities, and percentages within the context of this simulation.
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  • This activity discusses probability topics, such as: sample space, independent events, Law of Large Numbers, deviation percentage. A Excel program is required for this activity, which can be reached via the website.
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