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.
Collaborative Statistics was written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook was developed over several years and has been used in regular and honors-level classroom settings and in distance learning classes. This textbook is intended for introductory statistics courses being taken by students at two– and four–year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it. The textbook is also available in printed form from Qoop.com.
Collaborative Statistics was written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook was developed over several years and has been used in regular and honors-level classroom settings and in distance learning classes. This textbook is intended for introductory statistics courses being taken by students at two– and four–year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it. This custom textbook collection has been modified by R. Bloom for her classes at De Anza College; the homework content for the custom collection is now contained in a separate homework collection.
This is a custom collection (by R. Bloom) of homework and review problems to accompany Collaborative Statistics textbook custom collection by R. Bloom. Content is derived from Collaborative Statistics written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook by S. Dean and B. Illowsky was developed over several years and has been used in regular and honors-level classroom settings and in distance learning classes. This textbook is intended for introductory statistics courses being taken by students at two– and four–year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it. This custom version of their collection has been modified by R. Bloom for her classes at De Anza College.
Students will act as the administrator of an agency dealing with meeting the needs of diverse groups in a two county area. They will use census data to obtain information for the purpose of community resource planning.
This module is designed to illustrate differences in family and household composition patterns for different groups based on race/ethnicity and social class. It also serves as a review of key methodological concepts introduced in the first part of the course.
In the first part of the activity, each student chews a piece of gum until it loses its flavor, and then leaves the gum to dry for several days before weighing it to determine the amount of mass lost. This mass corresponds to the amount of sugar in the gum, and can be compared to the amount stated on the package label. In the second part of the activity, students work in groups of four to design and conduct new experiments based on questions of their own choosing. These questions arise naturally from observations that occur during the first experiment, and from students' own experiences with and knowledge of the many varieties of chewing and bubble gums available.
Subject:
Mathematics and Statistics, Science and Technology
Specification and estimation of the linear regression model. Departures from the standard Gauss-Markov assumptions include heteroskedasticity, serial correlation, and errors in variables. Advanced topics include generalized least squares, instrumental variables, nonlinear regression, and limited dependent variable models. Economic applications are discussed.
Overall, we see that even when controlling for occupation, gender continues to affect earnings: women make less than men. In this exercises, students will examine the influence of education on earnings. Do higher levels of education lead to higher earnings?
The purpose of this module is to introduce students in an online Criminology course to the idea of data analysis using an online analysis program and the General Social Survey. Prior to this module, students will have read several documents describing the scientific method including terminology such as statistical significance, independent and dependent variables, and operationalization. Once students have read this document, they then complete a guided online analysis and turn in their answers by completing an online quiz.
Everyday we have specific routines we engage in. Many of these routines are tailored to preventing us from becoming victims of crime. We do things like lock our doors, watch where we walk at night, or avoid walking alone. We take these actions because at some level we are afraid of the possibility of being a victim of crime. Although we may not consciously think about it, these routines may be influenced by a variety of factors. What factors might make some individuals more afraid than others?
Students will gain an understanding of the change in fertility patterns in the U.S. through an examination of the change of marital status among females, childbearing trends, and how such variables are affected by race/ethnicity.
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