STATISTICS

Professors Ergle, Spielman; Teaching Associates J. Minton, Staniunas

No major is offered in Statistics.

Concentration in Statistics

The concentration in statistics will require five units, including STAT 202 Probability, STAT 301 Statistical Methods, and STAT 401 Mathematical Statistics and two additional units chosen from STAT 403 Experimental Design, STAT 404 Applied Regression Analysis, CPSC 420 Simulation, MATH 388 Topics in Mathematics (pending approval of the department), and MATH 416 or STAT 416 Internship (pending approval of the department).

101 Introductory

Frequency distributions, computation of averages and measures of dispersion, probability distributions, elements of sampling, correlation, prediction, tests of hypotheses. (This course may be used for credit toward the General Education requirements in mathematics.) (1)
Lecture: 3 hrs/wk.
(May not enroll in Statistics 101 if Statistics 202 has been completed.)

202 Probability

Sets, sample spaces, random variables, probability distributions. Chebyshev’s inequality, central limit theorem, sampling and estimation, tests of hypotheses. (1)
Lecture: 3 hrs/wk.
Prerequisite: Mathematics 122.
(May not enroll in Statistics 101 if Statistics 202 has been completed.)

301 Statistical Methods

Descriptive statistics, sampling procedures, simulation, estimation of parameters, tests of hypotheses, nonparametric methods, regression, and correlation. (1)
Lecture: 3 hrs/wk.
Prerequisite: Mathematics 122.
(Offered in 2005-2006 and alternate years.)

401 Mathematical Statistics

Probability, discrete and continuous distributions, moments and moment-generating functions, sampling theory, and estimation. (1)
Lecture: 3 hrs/wk.
Prerequisites: Mathematics 122 and Statistics 202.
(Offered in 2004-2005 and alternate years.)

403 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)
Lecture: 3 hrs/wk.
Prerequisite: Statistics 301.
(Offered in 2005-2006 and alternate years.)

404 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)
Prerequisite: Statistics 301.
(Offered in 2004-2005 and alternate years.)

405, 406, 407 Independent Study and Research

Selected topics in statistics carried out under the direction of a member of the departmental staff. Enrollment with the approval of the department. (1/2, 1, 1/2)

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)