Statistics
 

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.
STAT
511
 Hours3.0 Credit, 3.0 Lecture, 2.0 Lab
 PrerequisitesSTAT 121; or STAT 201; or equivalent.
 TaughtFall, Winter
 ProgramsContaining STAT 511
Course Outcomes: 

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