Raoul D Lepage - Overview

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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 - 3.192
Median Grade - 3.5
355 total students

Latest grades from Fall 2018

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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 - 3.391
Median Grade - 4.0
69 total students

Latest grades from Fall 2019

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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 - 3.423
Median Grade - 3.5
26 total students

Latest grades from Spring 2018

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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 - 3.054
Median Grade - 3.0
37 total students

Latest grades from Fall 2015

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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 - 3.356
Median Grade - 3.5
140 total students

Latest grades from Spring 2019

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STT 481 - Capstone in Statistics (W)

Selected readings and projects illustrating special problems encountered by statisticians in their roles as consultants, educators, researchers and analysts.

Average Grade - 3.525
Median Grade - 4.0
162 total students

Latest grades from Spring 2018

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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 - 3.909
Median Grade - 4.0
11 total students

Latest grades from Fall 2016

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STT 825 - Sample Surveys

Application of statistical sampling theory to survey designs. Simple random, stratified, and systematic samples. Sub-sampling, double sampling. Ratio and regression estimators.

Average Grade - 3.683
Median Grade - 4.0
112 total students

Latest grades from Fall 2017

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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 - 3.611
Median Grade - 4.0
18 total students

Latest grades from Fall 2017

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