
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
week 3 & 4 (Jan 30, Feb 1, 6, 8)
 topic 3: mathematical
variable types AND summarizing data
 assignment
3_part1: summarizing data in R
 assignment 3_part2:
why you need a statistics program
 assignment
4:
intro to inference via confidence intervals
weeks 5 & 6 (Feb 13, 15)
 discuss assignment 4 as an intro to inference
 exam1 (Feb 15 or 16)
 study
guide
week 7 (Feb 27, Mar 1)
 review exam 1
 topic
4: principles of inference: sample vs. statistical
population
week 8 (Mar 6, 8): spring break
 topic
5: experiments with one continuous RV and one categorical EV
 assignment
5: twosample ttest and single factor ANOVA
(answers
to assignment 5)
 assignment
52: single factor ANOVA and unplanned comparisons
(answers
to assignment 52)
week 9 (Mar 13, 15)
 discuss topic 5 in context of assignment 5 & 52
 assignment
53: hand calculating ttest and single factor ANOVA
week 10 (Mar 20, 22)
 discuss topic 5 in context of assignment 5 & 52
week 11 (Mar 27):
 exam 2 (study
guide)
week 12 (Apr 3, 5)

Topics 6 and 7: experiments with two continuous variables or two ordinal variables or one
continuous EV and one continuous RV
 assignment
6: correlation and simple linear regression
(**answers
to assignment 6**)
 assignment
62
week 13 (Apr 10, 12)
 Topics 6 and 7 (continued)
 Topic 11: experiments with one continuous RV and more than one continuous EVs
 Topic 8: experiments with one continuous RV and at least two categorical,
crossed EVs
 **assignment
7: factorial analysis of variance**
week 14 (Apr 17, 19)
 Topic 11 (continued)
 Topic 15: example of a multivariatae data reduction technique
 Discuss Assignment 7 and Assignment 8
 Topic 9: issues that must be considered with block designs and nested
designs
 Topic 10: experiments with one continuous RV, at least one categorical EV,
and a continuous EV (a covariate)
week 15 (Apr 24, 26)
 Topic 12: alternatives when response variable’s error distribution doesn’t
meet requirements of a test
 Topic 13: experiments with one categorical RV and one continuous or
categorical EV
week 16 (May 1, 3)
 Topic 14: experiments with only categorical variables: analysis of frequencies (i.e.,
counts) & relative frequencies (i.e., proportions)
 exam 3
week 17 (May 8): final exam at 12pm
