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)

 
Professor Co-authors Calculus Textbooks

Professor Co-authors Calculus Textbooks

Real world examples, challenging writing exercises and the integration of technology within the text, make it accessible to all students.

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