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Intro Statistical Inferenc S1 |
Enrollment Information (not real time - data refreshed nightly)
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Class #:
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18020 | |
Enrollment Capacity:
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11 |
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Section:
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S1 |
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Enrollment Total:
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11 |
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Credits:
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4.00 credits
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Seats Available:
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0 |
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Dates:
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01/30/2023 - 05/12/2023 |
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Status:
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CLOSED |
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Days, Time:
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R , 9:30 AM - 10:20 AM |
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Math 205 |
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North Campus |
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Registering in the above section will automatically place you in the following class(es):
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| Enrollment Requirements |
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Prerequisites: Pre-Requisite: MTH 411 or STA 301. |
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| Course Description |
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| Rigorous derivation of statistical results, clarification of limitations of statistical analysis, extensive use of computational software, application of statistical methods to case studies. Topics include: Graphical and numerical techniques for exploring data. Use and accuracy of population samples using parametric and nonparametric methods. Determination of probability distributions from statistical data. Use of computational methods based on resampling of data to determine reliability of statistical information. Classical statistical inference methods: probability distribution estimation, confidence intervals for statistical results, hypothesis testing for statistical significance. Fitting of data using linear regression and determining the accuracy of fit. Bayesian methods for estimating probability distributions using prior information. Advanced topics such as importance sampling for understanding the probability of rare events. |
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| Instructor(s) |
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Alegria |
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| Other Courses Taught By: Alegria |
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