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| 02/02 - 05/22 | ||||||
| M | T | W | Th | F | Sa | Su |
12:15 pm |
12:15 pm |
12:15 pm |
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Subject: Statistics (STAT)
CRN: 21801
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 226
Probability theory in discrete and continuous sample spaces; random variables and distribution functions; moments; the moment-generating function; functions of random variables; law of large numbers; central limit theorem. Prerequisites: A grade of C- or above in MATH 200 (may be taken concurrently with consent of instructor). NOTE: Students who receive credit for STAT 313 may not receive credit for STAT 303.
4 Credits
| 02/02 - 05/22 | ||||||
| M | T | W | Th | F | Sa | Su |
9:35 am |
9:35 am |
9:35 am |
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Subject: Statistics (STAT)
CRN: 21802
In Person | Lecture
St Paul: Brady Educational Center LL07
Requirements Met:
School of Ed Transfer Course
Students will learn the theory and applications of point estimation, interval estimation, and hypothesis testing. Students will construct intervals and tests using a variety of statistical tools including frequentist statistical theory, Bayesian statistical theory, and resampling-based simulation. Prerequisites: Grades C- or higher in MATH 240 and STAT 313. NOTE: Students who receive credit for STAT 314 may not receive credit for STAT 303.
4 Credits
| 02/02 - 05/22 | ||||||
| M | T | W | Th | F | Sa | Su |
12:15 pm |
12:15 pm |
12:15 pm |
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Subject: Statistics (STAT)
CRN: 21803
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 214
Requirements Met:
School of Ed Transfer Course
Writing in the Discipline
The course introduces the theory and applications of simple and multiple regression methods, including model construction and selection, transformation of variables and residual analysis; introduction to GLM (generalized linear models) for categorical and count response variables; time series analysis with ARIMA (autoregressive integrated moving average models). Students are introduced to principles of data collection and analysis, learn to work with statistical literature. Students present a writing intensive small group course project. Prerequisites: Grades C- or higher in MATH 240 and in STAT 303 or STAT 314.
4 Credits
| 02/02 - 05/22 | ||||||
| M | T | W | Th | F | Sa | Su |
1:30 pm |
1:30 pm |
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Subject: Statistics (STAT)
CRN: 21804
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 214
The course covers a range of statistical models used in applications including Actuarial Science, Finance, Health, and Social Sciences. It is oriented towards practical model construction and problem solving. The theory of Monte Carlo and Markov Chain Monte Carlo simulation is considered as well as its practical implementation. Credibility theory serves as one of the major applications. Prerequisites: MATH 109, 112 or 113; AND STAT 314 or DASC 240.
4 Credits
| 02/02 - 05/22 | ||||||
| M | T | W | Th | F | Sa | Su |
3:25 pm |
3:25 pm |
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Subject: Statistics (STAT)
CRN: 21805
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 214
Requirements Met:
[Core] Signature Work
This course provides students the opportunity to develop and pursue an advanced statistical analysis with real world relevance and application. In addition to working with a faculty instructor, students are also given the opportunity to collaborate with professional mentors from various industries and to participate in national competitions. Previous sponsors include the Minnesota Department of Natural Resources, the Travelers Companies, U.S. Bancorp, SCOR Reinsurance, Drake Bank, and numerous professors from other departments at St. Thomas. Grade of C- or higher in STAT 360 and senior standing.
4 Credits