Ashoke K Sinha (Instructor) - Grade Details
(with breakdown by course)
Ashoke K Sinha - All Courses
Average Grade - 2.941
Median Grade - 3.0
Latest grades from Fall 2020
Ashoke K Sinha - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown | ||
|---|---|---|---|---|---|---|
| STT 200 | Average Grade - 2.740 Median Grade - 3.0 |
3357 | Summer 2019 | |||
| STT 430 | Average Grade - 3.011 Median Grade - 3.5 |
45 | Summer 2014 | |||
| STT 421 | Average Grade - 2.939 Median Grade - 3.0 |
286 | Summer 2016 | |||
| STT 441 | Average Grade - 2.848 Median Grade - 3.0 |
145 | Fall 2017 | |||
| STT 315 | Average Grade - 3.135 Median Grade - 3.5 |
2170 | Fall 2020 | |||
| STT 861 | Average Grade - 3.441 Median Grade - 3.5 |
76 | Fall 2020 | |||
| STT 863 | Average Grade - 3.447 Median Grade - 3.5 |
66 | Fall 2019 | |||
| STT 442 | Average Grade - 3.106 Median Grade - 3.5 |
52 | Spring 2012 | |||
| STT 351 | Average Grade - 3.232 Median Grade - 3.5 |
183 | Spring 2016 | |||
| STT 459 | Average Grade - 3.012 Median Grade - 3.5 |
171 | Spring 2019 | |||
| STT 422 | Average Grade - 3.011 Median Grade - 3.5 |
47 | Spring 2017 | |||
| STT 843 | Average Grade - 3.750 Median Grade - 4.0 |
42 | Spring 2016 | |||
| STT 862 | Average Grade - 3.459 Median Grade - 3.5 |
73 | Spring 2020 | |||
| STT 250 | Average Grade - 3.600 Median Grade - 3.5 |
20 | Spring 2015 | |||
| STT 231 | Average Grade - 3.426 Median Grade - 3.5 |
74 | Spring 2017 | |||
| STT 201 | Average Grade - 3.059 Median Grade - 3.5 |
34 | Summer 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 - 2.740
Median Grade - 3.0
Latest grades from Summer 2019
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STT 201 - Statistical Methods
Probability and statistics with computer applications. Data analysis, probability models, random variables, tests of hypotheses, confidence intervals, simple linear regression. Weekly lab using statistical software.
Average Grade - 3.059
Median Grade - 3.5
Latest grades from Summer 2017
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STT 231 - Statistics for Scientists
Calculus-based course in probability and statistics. Probability models, and random variables. Estimation, confidence intervals, tests of hypotheses, and simple linear regression with applications in sciences.
Average Grade - 3.426
Median Grade - 3.5
Latest grades from Spring 2017
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STT 250 - Statistics and Probability for K-8 Teachers
Data collection and analysis. Statistics, probability models. Decision-making in the presence of variability. Computer software relevant for teaching practice.
Average Grade - 3.600
Median Grade - 3.5
Latest grades from Spring 2015
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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 - 3.135
Median Grade - 3.5
Latest grades from Fall 2020
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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 - 3.232
Median Grade - 3.5
Latest grades from Spring 2016
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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 - 2.939
Median Grade - 3.0
Latest grades from Summer 2016
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STT 422 - Statistics II
Goodness of fit and other non-parametric methods. Linear models including multiple regression and ANOVA for simple experimental designs.
Average Grade - 3.011
Median Grade - 3.5
Latest grades from Spring 2017
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STT 430 - Introduction to Probability and Statistics
Calculus-based probability and statistics with applications. Discrete and continuous random variables and their expectations. Point and interval estimation, tests of hypotheses, and simple linear regression.
Average Grade - 3.011
Median Grade - 3.5
Latest grades from Summer 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 - 2.848
Median Grade - 3.0
Latest grades from Fall 2017
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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 - 3.106
Median Grade - 3.5
Latest grades from Spring 2012
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STT 459 - Construction and Evaluation of Actuarial Models
Severity, frequency, and aggregate models. Construction of empirical models. Parametric statistical methods. Credibility analysis. Simulation methods.
Average Grade - 3.012
Median Grade - 3.5
Latest grades from Spring 2019
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STT 843 - Multivariate Analysis
Multivariate normal distribution, tests of hypotheses on means, multivariate analysis of variance. Discriminant analysis. Principal components. Factor analysis. Analysis of frequency data.
Average Grade - 3.750
Median Grade - 4.0
Latest grades from Spring 2016
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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 - 3.441
Median Grade - 3.5
Latest grades from Fall 2020
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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 - 3.459
Median Grade - 3.5
Latest grades from Spring 2020
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STT 863 - Statistical Methods I
Introduction to the general theory of linear models. Application of regression models. Interval estimation, prediction and hypothesis testing. Contrasts; model diagnostics; model selection. LASSO type and high dimensional variable selection. Introduction to Linear mixed effect models.
Average Grade - 3.447
Median Grade - 3.5
Latest grades from Fall 2019
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