STAT
511
Stat Methods for Research 1
Hours
3.0 Credit, 3 Lecture, 2 Lab
Semester
Fall,
Winter
Basic statistical methodologies and experimental design. Topics include simple analysis of variance, multiple regression, analysis of covariance, model selection.
Randomization
Describe the role of randomization and replication in inferring causation
JMP
Use JMP (or other software) to read in data and compute numerical and graphical summaries of the data
T-Test
Use a t-test (one-sample, paired, and two-sample) to perform inference on means and know what the assumptions for use are
ANOVA
Fit a one-way ANOVA and construct an interpret the ANOVA table in JMP (or other software)
Simple and Multiple Linear Regression
Fit both simple and multiple linear regression and interpret the results
Assess Model Fit
Use residuals and influence diagnostics to assess model fit, agreement with regression assumptions, and identify outliers and influential observations
Scientific Literature
Critically read scientific literature of their field involving parametric linear models with a continuous response