Explore visualization methods in R using
Combination of continuous and categorical variables
Two quantitative variables
Explore how resistant (mean, median, sd) are to outliers
Explore sampling distributions (and standard errors) for varying sample sizes
R has built in capabilities for generating random numbers
Similar to a random number table, they require a “starting” point, determined by the “seed”
The seed (i.e., starting value and all random numbers) will differ each time you run your code, unless you set the seed before generating random numbers.
set.seed(*number*) will allow you to produce the same output every time you run your code.