Hyokyoung Hong (Instructor) - Grade Details
(with breakdown by course)
Hyokyoung Hong - All Courses
Average Grade - 3.188
Median Grade - 3.5
Latest grades from Fall 2020
Hyokyoung Hong - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown | ||
|---|---|---|---|---|---|---|
| STT 200 | Average Grade - 2.959 Median Grade - 3.0 |
859 | Fall 2013 | |||
| STT 802 | Average Grade - 3.492 Median Grade - 3.5 |
62 | Fall 2019 | |||
| STT 847 | Average Grade - 3.964 Median Grade - 4.0 |
42 | Fall 2020 | |||
| STT 461 | Average Grade - 3.462 Median Grade - 4.0 |
53 | Spring 2018 | |||
| STT 490 | Average Grade - 3.682 Median Grade - 4.0 |
11 | Spring 2015 | |||
| STT 315 | Average Grade - 3.364 Median Grade - 3.5 |
660 | Spring 2017 | |||
| STT 868 | Average Grade - 3.917 Median Grade - 4.0 |
12 | Spring 2017 | |||
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STT 200 - Statistical Methods
Data analysis, probability models, random variables, estimation, tests of hypotheses, confidence intervals, and simple linear regression.
Average Grade - 2.959
Median Grade - 3.0
Latest grades from Fall 2013
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STT 315 - Introduction to Probability and Statistics for Business
A first course in probability and statistics primarily for business majors. Data analysis, probability models, random variables, confidence intervals, and tests of hypotheses with business applications.
Average Grade - 3.364
Median Grade - 3.5
Latest grades from Spring 2017
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STT 461 - Computations in Probability and Statistics
Computer algorithms for evaluation, simulation and visualization. Sampling and prescribed distributions. Robustness and error analysis of procedures used by statistical packages. Graphics for data display, computation of probabilities and percentiles.
Average Grade - 3.462
Median Grade - 4.0
Latest grades from Spring 2018
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STT 490 - Directed Study of Statistical Problems
Individualized study of selected topics.
Average Grade - 3.682
Median Grade - 4.0
Latest grades from Spring 2015
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STT 802 - Statistical Computation
Computational techniques commonly used in Statistics. Matrix decompositions. Least squares and Least Absolute Deviations. Solution of nonlinear equations. Optimization techniques including the EM algorithm and constrained optimization. Numerical integration. Generation of random numbers and stochastic simulation. Implementation in statistical software.
Average Grade - 3.492
Median Grade - 3.5
Latest grades from Fall 2019
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STT 847 - Analysis of Survival Data
Analysis of lifetime data. Estimation of survival functions for parametric and nonparametric models. Censored data. The Cox proportional hazards model. Accelerated failure time models. Frailty models. Use of statistical software packages.
Average Grade - 3.964
Median Grade - 4.0
Latest grades from Fall 2020
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STT 868 - Mixed Models: Theory, Methods and Applications
Maximum likelihood estimation and other estimation methods for linear mixed models. Statistical properties of LME models. Prediction under LME models. Generalized linear mixed models. Quasi-likelihood estimation, generalized estimating equations for GLMM. Nonlinear mixed models. Diagnostics and influence analysis. Bayesian development in mixed linear models. Application of mixed models.
Average Grade - 3.917
Median Grade - 4.0
Latest grades from Spring 2017
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