R V Ramamoorthi (Instructor) - Grade Details
(with breakdown by course)
R V Ramamoorthi - All Courses
Average Grade - 3.417
Median Grade - 3.5
Latest grades from Fall 2017
R V Ramamoorthi - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown | ||
|---|---|---|---|---|---|---|
| STT 351 | Average Grade - 3.143 Median Grade - 3.5 |
469 | Fall 2017 | |||
| STT 861 | Average Grade - 3.548 Median Grade - 3.5 |
52 | Fall 2011 | |||
| STT 871 | Average Grade - 3.885 Median Grade - 4.0 |
13 | Fall 2012 | |||
| STT 315 | Average Grade - 3.481 Median Grade - 3.5 |
1376 | Fall 2014 | |||
| STT 442 | Average Grade - 3.132 Median Grade - 3.0 |
35 | Fall 2017 | |||
| STT 862 | Average Grade - 3.607 Median Grade - 4.0 |
56 | Spring 2017 | |||
| STT 872 | Average Grade - 3.911 Median Grade - 4.0 |
28 | Spring 2017 | |||
| STT 421 | Average Grade - 3.654 Median Grade - 4.0 |
13 | Summer 2012 | |||
| STT 997 | Average Grade - 4.000 Median Grade - 4.0 |
15 | Summer 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 - 3.481
Median Grade - 3.5
Latest grades from Fall 2014
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STT 351 - Probability and Statistics for Engineering
Probability models and random variables. Estimation, confidence intervals, tests of hypotheses, simple linear regression. Applications to engineering.
Average Grade - 3.143
Median Grade - 3.5
Latest grades from Fall 2017
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STT 421 - Statistics I
Basic probability, random variables, and common distributions. Estimation and tests for one-, two-, and paired sample problems. Introduction to simple linear regression and correlation, one-way ANOVA.
Average Grade - 3.654
Median Grade - 4.0
Latest grades from Summer 2012
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STT 442 - Probability and Statistics II: Statistics
Parameter estimation, sampling distributions, confidence intervals, hypothesis testing, simple and multiple regression, analysis of variance. Time series models, data analysis and forecasting
Average Grade - 3.132
Median Grade - 3.0
Latest grades from Fall 2017
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STT 861 - Theory of Probability and Statistics I
Probability models, random variables and vectors. Special distributions including exponential family. Expected values, covariance matrices, moment generating functions. Convergence in probability and distribution. Weak Law of Large Numbers and Lyapunov Central Limit Theorem.
Average Grade - 3.548
Median Grade - 3.5
Latest grades from Fall 2011
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STT 862 - Theory of Probability and Statistics II
Statistical inference: sufficiency, estimation, confidence intervals and testing of hypotheses. One and two sample nonparametric tests. Linear models and Gauss-Markov Theorem.
Average Grade - 3.607
Median Grade - 4.0
Latest grades from Spring 2017
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STT 871 - Theory of Statistics I
Empirical distributions, quantiles, Glivenko-Cantelli Theorem. Important distributions and families. Convergences, Slutsky Theorem, asymptotics of differentiable functions. Basic concepts of decision theory. Confidence sets. Some basic statistical methods.
Average Grade - 3.885
Median Grade - 4.0
Latest grades from Fall 2012
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STT 872 - Statistical Inference I
Statistical distributions, decision-theoretic formulation of estimation and testing of hypotheses, sufficiency, Rao-Blackwellization, admissibility, Bayes and minimax estimation, maximum likelihood estimation, inference based on order statistics, Neyman-Pearson Lemma and applications, multiple testing.
Average Grade - 3.911
Median Grade - 4.0
Latest grades from Spring 2017
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STT 997 - Advanced Topics in Statistics
Topics selected from non- and semi parametric statistics, multivariate analysis, time series analysis, Bayesian statistics, regression and kernel estimation, and other topics in advanced statistics.
Average Grade - 4.000
Median Grade - 4.0
Latest grades from Summer 2013
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