
week 1 (Jan 16, 18)
 installing R and RStudio
 Topic 1: language of experiments (experimental variables, treatments,
replication, etc.)
 **assignment
1: language of experiments**
week 2 (Jan 23, 25)
 Topic 2: how to structure datasets
 **assignment
2: how to structure datasets & import them into R**
 Topic 3: mathematical variable types AND summarizing data
week 3 & 4 (Jan 30, Feb 1, 6, 8)
:  Topic 4: forming *conclusion* about a *sample* vs. *inference* about a
statistical *population*
 exam1 (unless postponed to week 5)
weeks 5 & 6 (Feb 13, 15)
 experiments with one continuous RV and one categorical EV
week 7 (Feb 27, Mar 1)
 experiments with two continuous variables
 experiments with two ordinal (i.e., ranked) variables
week 8 (Mar 6, 8): spring break
week 9 (Mar 13, 15)
 experiments with one continuous EV and one continuous RV
week 10 (Mar 20, 22)
 experiments with one categorical RV and one continuous or
categorical EV
week 11 (Mar 27):
 exam 2
week 12 (Apr 3, 5)
 experiments with one continuous RV and at least two categorical,
crossed EVs
week 13 (Apr 10, 12)
 experiments with one continuous RV, at least one EV, and a "block"
factor (i.e., each replicate is a pair of experimental subjects or a triplet
of expt subjects or some other size "block" of expt subjects)
week 14 (Apr 17, 19)
 experiments with one continuous RV, at least one categorical EV,
and a continuous EV (a covariate)
 experiments with one continuous RV and more than one continuous EVs
 example of a multivariatae data reduction technique
week 15 (Apr 24, 26)
 alternatives when response variable’s error distribution doesn’t
meet requirements of a test
 experiments with only categorical variables: analysis of frequencies (i.e.,
counts) & relative frequencies (i.e., proportions)
week 16 (May 1, 3)
 experiments with only categorical variables (continued)
 exam 3
week 17 (May 8): final exam at 12pm
