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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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  • This page provides links to distribution calculators, conceptual demonstration applets, statistical tables, online data analysis packages, function and image-processing tools, and other online computing resources. Key Words: Binomial; Normal; Exponential; Chi-Square; Geometric; Hypergeometric; Negative Binomial; Poisson; Student's T; F-Distribution; Wilcoxon Rank-Sum; Central Limit Theorem; Regression; Normal Approximation to Poisson; Confidence Intervals; Hypothesis Tests; Power; Sample-Size; ANOVA; Galton's Board; Function Plots; Edge Detection; Image Warping & Stretching; Polynomial Model Fitting; Wilcoxon-Mann-Whitney Statistic.
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  • How are earnings determined? Why do some people earn more than others? Does a better job necessarily mean a better salary? In this module, students will attempt to answer these questions and many others by examining factors such as education and occupation in terms of the role they play in determining earnings. Students will also look at the earnings of whites and compare them to the earnings of blacks, Latinos, and Asians. Another consideration will center on the effect of gender. Finally, students will turn their attention to the age of workers in terms what role it plays in determing earnings. Aside from earnings, students will also take a brief look at poverty with respect to the effect race-ethnicity and family structure has on creating and sustaining it.
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  • This page contains links to 5 review sheets with formulas, properties, definitions and rules for basic descriptive and inferential statistics and probability concepts. The review pages are in pdf format. Key Words: Hypothesis Testing, ANOVA, Descriptive Statistics, Regression, Correlation, Nonparametric Tests, Probability Distributions, Counting, Central Limit Theorem.
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  • This module is designed to illustrate the effects of selection bias on the observed relationship between premarital cohabitation and later divorce. It also serves as a review of key methodological concepts introduced in the first part of the course.
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  • This site contains numerous resources for learning statistics. Under "Free Statistical Software", the user will find many, many links to free statistical software packages. Also available on the site are links to statistical textbooks, tutorials, applets, calculators, data sources, and more.
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  • This collection of datasets covers many application areas, but are all for time series analysis. The data are in text format.
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  • This module provides an activity were students will attempt to explain how each of the following variables is related to child poverty within the United States: Race, Age, Family Type, Family Size, and Immigrant Status.
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  • This collection of datasets was compiled by the Biostatistics Department at Vanderbilt University. They come in R, S, Excel, and ASCII formats. Each also has a description in html format.
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  • This dataset comes from a study of 23 healthy male subjects in a five period crossover study. Each subject followed a randomly allocated sequence of five treatments. Blood samples were collected and serum ethanol levels were recorded. Questions from this study refer to the drug-alcohol interaction. A text file version of the data is found in the relation link.
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