HNRS 240 Statistics in an Online World
Provides an inquiry-focused introduction to statistical methodologies. Students will gain an understanding of how decision making is accomplished using modern statistical techniques. Topics include descriptive statistics, graphical methods, estimation, elementary probability, and statistical inference; students will apply the techniques of data analysis to data sets and statistical studies that address questions of the perspective. Includes an engagement component that reaches beyond the classroom. Open to Honors students or non-Honors students with a cumulative GPA of at least a 3.2 (Credit cannot be received for both HNRS 240 and INQ 240.) (1) Lecture: 3 hrs/wk. 1 Unit
|A||Dr. Adam F. Childers||M/W/F 9:40AM-10:40AM|
STAT 220 Statistical Methods II
Simple and multiple regression techniques, one and two-way ANOVA, nonparametric methods, logistic regression, big data, and bootstrap methods. (1) 1 Unit
- INQ-240 or STAT-210 Must be taken prior to taking this course.
|A||Dr. Adam F. Childers||M/W/F 2:20PM-3:20PM|
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
- STAT-210 or STAT-220. Must be taken prior to taking this course.
|A||Dr. Adam F. Childers||M/W/F 12:00PM-1:00PM|