Courses

STAT 202 Probability and Statistics

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

Requisites

  • MATH-122 Must be taken prior to taking this course.

Offerings

Section Instructor Time Comments
A M. Rahmoeller M/W/F 12:00PM-1:00PM

STAT 301 Mathematical Statistics

Probability, discrete and continuous distributions, moments and moment-generating functions, sampling theory and estimation. (1) Lecture: 3 hrs/wk. 1 Unit

Requisites

  • STAT-202 Must be taken prior to taking this course.

Offerings

Section Instructor Time Comments
A R. Minton

STAT 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, nolinear regression, correlation, use of dummy varables, the diagnoses of residuals, selection of variables, and time series techniques. There will be a signifucant use of statistical software. 1 Unit

Requisites

  • STAT-202. Must be taken prior to taking this course.

Offerings

Section Instructor Time Comments
A A. Childers M/W/F 12:00PM-1:00PM

STAT 406 Independent Study & Research

Selected topics in statistics carried ou t under the direction of a member of the departmental staff. Enrollment with the approval of the department. 1 Unit

Offerings

Section Instructor Time Comments
A A. Childers