Statistical Methods for Research 1

Statistical Methods for Research 1
Basic statistical methodologies and experimental design. Topics include simple analysis of variance, multiple regression, analysis of covariance, model selection.
 Hours3.0 Credit, 3.0 Lecture, 2.0 Lab
 PrerequisitesSTAT 121; or equivalent.
 TaughtFall, Winter
Course Outcomes


Describe the role of randomization and replication in inferring causation


Use JMP (or other software) to read in data and compute numerical and graphical summaries of the data


Use a t-test (one-sample, paired, and two-sample) to perform inference on means and know what the assumptions for use are


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