Yimin Xiao (Instructor) - Grade Details
(with breakdown by course)
Yimin Xiao - All Courses
Average Grade - 2.569
Median Grade - 2.5
Latest grades from Fall 2021
Yimin Xiao - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| STT 200 | Average Grade - 2.579 Median Grade - 2.5 |
2388 | Fall 2014 | |
| STT 441 | Average Grade - 2.296 Median Grade - 2.5 |
219 | Spring 2017 | |
| STT 881 | Average Grade - 3.308 Median Grade - 3.5 |
28 | Fall 2020 | |
| STT 886 | Average Grade - 2.955 Median Grade - 3.0 |
11 | Fall 2021 | |
| STT 844 | Average Grade - 2.871 Median Grade - 3.5 |
37 | Spring 2019 |
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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 - 2.579
Median Grade - 2.5
Latest grades from Fall 2014
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STT 441 - Probability and Statistics I: Probability
Probability, conditional probability and independence. Random variables. Discrete, continuous, univariate, and multivariate distributions. Expectation and its properties, moment generating functions. Law of large numbers, central limit theorem.
Average Grade - 2.296
Median Grade - 2.5
Latest grades from Spring 2017
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STT 844 - Time Series Analysis
Stationary time series. Autocorrelation and spectra. ARMA and ARIMA processes: estimation and forecasting. Seasonal ARIMA models. Identification and diagnostic techniques. Multivariate time series. Time series software.
Average Grade - 2.871
Median Grade - 3.5
Latest grades from Spring 2019
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STT 881 - Theory of Probability I
Measures and their extensions, integration. Lp spaces and Inequalities. Lebesgue decomposition, the Radon-Nikodym theorem. Product measures, Fubini's theorem. Kolmogorov consistency theorem. Independence, Kolmogorov's zero-one law, the Borel-Cantelli lemma. Law of large numbers. Central limit theorems, characteristic functions, the Lindeberg-Feller theorem, asymptotic normality of sample median. Poisson convergence. Conditional expectations.
Average Grade - 3.308
Median Grade - 3.5
Latest grades from Fall 2020
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STT 886 - Stochastic Processes and Applications
Markov chains and their applications in both discrete and continuous time, including classification of states, recurrence, limiting probabilities. Queuing theory, Poisson process and renewal theory.
Average Grade - 2.955
Median Grade - 3.0
Latest grades from Fall 2021
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