STAT 511
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Statistical Methods for Research 1
Statistics
College of Computational, Mathematical & Physical Sciences
Course Description
Basic statistical methodologies and experimental design. Topics include simple analysis of variance, multiple regression, analysis of covariance, model selection.
When Taught
Fall and Winter
Min
3
Fixed/Max
3
Fixed
3
Fixed
2
Other Prerequisites
or equivalent.
Note
Lab optional.
Title
Randomization
Learning Outcome
Describe the role of randomization and replication in inferring causation
Title
Simple and Multiple Linear Regression
Learning Outcome
Fit both simple and multiple linear regression and interpret the results
Title
Assess Model Fit
Learning Outcome
Use residuals and influence diagnostics to assess model fit, agreement with regression assumptions, and identify outliers and influential observations
Title
Scientific Literature
Learning Outcome
Critically read scientific literature of their field involving parametric linear models with a continuous response
Title
ANOVA
Learning Outcome
Fit a one-way ANOVA and construct an interpret the ANOVA table in JMP (or other software)
Title
JMP
Learning Outcome
Use JMP (or other software) to read in data and compute numerical and graphical summaries of the data
Title
T-Test
Learning Outcome
Use a t-test (one-sample, paired, and two-sample) to perform inference on means and know what the assumptions for use are
