Datasets
Create datasets in R and SAS from space-, comma-, tab-delimited text files.
Summary Statistics
Compute summary statistics from R and SAS datasets
Create Graphics
Create graphics in R and SAS for exploratory data analysis and communicating results
Variability
Understand the concept of variability in data and the attempt to identify sources of that variability
Writing Statistical Models
Practice writing statistical models
Experimental Design
Understand the basics of experimental design, including the definition of the experimental unit, response, variable, factor(s), and level(s) of a basic experiment, and the role of randomization and replication to permit causal inference
Analyze Data
Analyze data from 'Treatment-Control' or 'A/B' experiments using professional statistical software
Randomized Design
Analyze data from completely randomized designs using professional statistical software
Block Design
Analyze data from randomized complete block designs using professional statistical software
Two-Factor Factorial Design
Analyze data from two-factor factorial designs using professional statistical software
Confidence Intervals
Demonstrate the impact of increasing the number of replicates on confidence intervals and hypothesis tests
Technical Reports
Work in teams to write a technical report and make a technical presentation of a designed experiment
