Course Descriptions - Stat

202 Probability
Data analysis, descriptive statistics, sets, sample spaces, random variables, probability distributions. Chebyshev's inequality, central limit theorem, sampling and estimation, tests of hypotheses. (1 credit)
Lecture: 3 hrs/week
Prerequisite: Mathematics 122.
(May not enroll in INQ 240 if Statistics 202 has been completed.)

301 Mathematical Statistics
Probability, discrete and continuous distributions, moments and moment-generating functions, sampling theory and estimation. (1 credit)
Lecture: 3 hrs/week
Prerequisite: Statistics 202.
(Offered in 2014-2015 and alternate years.)

302 Statistical Methods
Descriptive statistics, sampling procedures, simulation, estimation of parameters, tests of hypotheses, non-parametric methods, regression and correlation. (1 credit)
Lecture: 3 hrs/week
Prerequisite: Statistics 202.
(Offered in 2013-2014 and alternate years.)

303 Experimental Design
Analysis of variance, analysis of covariance, multiple-range tests, completely randomized and randomized block designs, Latin squares, factorial designs and split-plot designs. (1 credit)
Lecture: 3 hrs/week
Prerequisite: Statistics 202.
(Offered in 2013-2014 and alternate years.)

304 Applied Regression Analysis
Applied statistical methods with emphasis on interpretation of regression models, data analysis, statistical computation, and model building. Specific topics covered include: simple and multiple linear regression, non linear regression, correlation, use of dummy variables, the diagnoses of residuals, selection of variables and time series techniques. There will be a significant use of statistical software. (1 credit)
Lecture: 3 hrs/week
Prerequisite: Statistics 202.
(Offered in 2014-2015 and alternate years.)

405, 406, 407 Independent Study and Research
Selected topics in statistics carried out under the direction of a member of the department staff. Enrollment with the approval of the department. (1/2 credit, 1 credit, 1/2 credit)

416 Internship
Field placement providing practical experience and training in areas in which statistics is applied. These areas may include industry, government agencies, educational institutions, insurance companies and a variety of private enterprises. Permission of the department is required. (1 credit)

 
Roanoke students use creativity, math and problem-solving skills to design optimal brownie pan

Roanoke students use creativity, math and problem-solving skills to design optimal brownie pan

This year's team of Ed Hrinya, Jared Meadows and Kat Jansen received the second highest ranking of Meritorious, which placed them in the top 1 percent internationally in the Mathematical Competition in Modeling.

See all related stories