PAM 2101
Last Updated
- Schedule of Classes - January 14, 2015 6:16PM EST
- Course Catalog - January 14, 2015 6:21PM EST
Classes
PAM 2101
Course Description
Course information provided by the Courses of Study 2014-2015.
The primary intent is to prepare students to successfully complete PAM 3100 Multivariate Regression. Topics include data presentation and descriptive statistics, summation operator, properties of linear functions, quadratic functions, logarithmic functions, random variables and their probability distributions, joint and conditional distributions, expected value, conditional expectation, statistical sampling and inference, interval estimation and confidence intervals, hypothesis testing using t and F distributions, and an introduction to bivariate regression analysis. The course uses Excel initially to become familiar with data analysis, and then moves on to Stata (a powerful statistical analysis computer program).
When Offered Fall.
Permission Note Enrollment limited to: PAM majors.
Outcomes
- Employ basic numeric and visualization tools to describe data.
- Apply inferential statistical analysis to policy-relevant research questions.
- Conduct statistical evaluations of US census data in computing environment.
- Critique methodological approaches to social scientific research.
Regular Academic Session. Choose one lecture and one discussion.
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Credits and Grading Basis
4 Credits Graded(Graded)
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Class Number & Section Details
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Meeting Pattern
- TR M Van Rensselaer Hall 280
Instructors
Hall, M
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Additional Information
Instruction Mode:
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Class Number & Section Details
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Meeting Pattern
- F M Van Rensselaer Hall 280
Instructors
Hall, M
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Additional Information
Instruction Mode:
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