PAM 2100
Last Updated
- Schedule of Classes - June 18, 2018 7:14PM EDT
- Course Catalog - June 14, 2018 7:15PM EDT
Classes
PAM 2100
Course Description
Course information provided by the Courses of Study 2017-2018.
The course introduces students to standard methods of describing and analyzing data, probability theory, statistical inference, and ordinary least squares. Students will learn to describe data with summary tables and charts, understand and apply probability theory to data, understand sampling distributions, conduct hypothesis tests, estimate regressions, and interpret statistical findings. Students will also learn to use the basics of Excel to analyze data.
When Offered Spring.
Permission Note Enrollment limited to: Human Ecology students.
Distribution Category (MQR-HE)
- Describe large datasets using summary statistics including both central tendencies and spread.
- Use probability theory to evaluate the expected value of future events.
- Use inferential statistics tools to conduct hypothesis tests about proportions, means, and multiple means.
- Estimate basic regressions using both bivariate and multivariate ordinary least squares.
- Write an original research paper using a difference-in-difference estimator.
- Use Excel to conduct basic statistical, data, and graphical analysis.
Regular Academic Session. Choose one lecture and one discussion.
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Credits and Grading Basis
4 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- MW M Van Rensselaer Hall G71
Instructors
Evans, T
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Class Number & Section Details
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Meeting Pattern
- R Plant Science Building 143
Instructors
Evans, T
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Class Number & Section Details
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Meeting Pattern
- R Fernow Hall G24
Instructors
Evans, T
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Class Number & Section Details
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Meeting Pattern
- R M Van Rensselaer Hall 153
Instructors
Evans, T
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Class Number & Section Details
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Meeting Pattern
- F M Van Rensselaer Hall 280
Instructors
Evans, T
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Class Number & Section Details
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Meeting Pattern
- F M Van Rensselaer Hall 280
Instructors
Evans, T
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Class Number & Section Details
-
Meeting Pattern
- F M Van Rensselaer Hall 280
Instructors
Evans, T
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