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The textbook for this course discusses cross-cultural variations in household structure, as well as changes across time in household structure in the United States. The purpose of this exercise is to examine variations in household structure in the United States according to race and historical period. By the end of the exercise students should have a better appreciation of the fact that household structure in the U.S. is very fluid and that changes over time in household structure have not progressed uniformly for all race groups.

In this module you will explore some of the impacts of this immigration by examining the characteristics of the foreign-born population, comparing these characteristics to those of the native born population. You will get a chance to explore where immigrants come from, how the composition of the immigrant population has changed, where immigrants settle, and what they do once they get here. Most importantly, you will have the opportunity to test some key hypotheses drawn from the most popular theory used to explain the incorporation of immigrants into the American social and economic mainstream.

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.

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.

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.

This dataset comes from a study of 16 healthy subjects allocated to 1 of 4 doses of a drug. Blood samples were taken and plasma levels were recorded. Questions from this study refer to the relationship between plasma level and dose. A text file version of the data is found in the relation link.

This dataset comes from a study of 24 healthy subjects allocated to 1 of 4 doses of a drug. Blood samples were taken and plasma levels were recorded. Questions from this study refer to the relationship between plasma level and dose. A text file version of the data is found in the relation link.

This dataset comes from a study of 14 healthy subjects given one dose of a drug for seven days. Blood samples were taken before and after treatment, and plasma levels were recorded. Questions from this study refer to the increase in plasma level after treatment. A text file version of the data is found in the relation link.

This dataset comes from two studies, one of 16 healthy young subjects and another of 14 healthy elderly subjects, each given a drug in two treatment periods. Blood samples were taken, and plasma levels were recorded. Questions from this study refer to whether age or gender affects plasma level. A text file version of the data is found in the relation link.

This site provides an introduction to basic statistical concepts for journalists and writers with little math background. Key Words: Mean; Median; Percent Changes; Per capita; Rates; Standard Deviation; Normal Distribution; Margin of Error; Confidence Interval; Data Analysis; Sample Sizes; Statistical Tests; Student's T.