CCTP-771 Statistical Methodology
Fall for 2017-2018
Faculty:
*Fulfills Core Method Requirement

This course is designed to provide students with a solid background in introductory and intermediate level statistical methods. These methods can be used in conjuction with data from a wide range of sources, including surveys, content analyses, economic and business data, aggregate level demographic indicators, and census data, to name but a few. The class will cover basic univariate statistics, bivariate analysis, and multiple regression techniques. Core concepts, such as probability theory and hypothesis testing, will be discussed. A hands-on approach will be employed. Students will work with SPSS, a widely used social scientific statistical package. Problem sets will be assigned to facilitate learning of each statistical technique. The final project for the course will be a data analysis paper on a topic of the students' choice. (CCT students might use this exercise as an opportunity to try out ideas for their thesis projects.) No prior background in statistical methods is required.
Credits: 3
Prerequisites: None

Sections:

CCTP-771-01 Statistical Methodology
Fall for 2017-2018
Faculty:
This course is designed to provide students with a solid background in introductory and intermediate level statistical methods. These methods can be used in conjuction with data from a wide range of sources, including surveys, content analyses, economic and business data, aggregate level demographic indicators, and census data, to name but a few. The class will cover basic univariate statistics, bivariate analysis, and multiple regression techniques. Core concepts, such as probability theory and hypothesis testing, will be discussed. A hands-on approach will be employed. Students will work with SPSS, a widely used social scientific statistical package. Problem sets will be assigned to facilitate learning of each statistical technique. The final project for the course will be a data analysis paper on a topic of the students' choice. (CCT students might use this exercise as an opportunity to try out ideas for their thesis projects.) No prior background in statistical methods is required.
Credits: 3
Prerequisites: None
More information
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