Schedule

Note: this schedule is subject to change. Please check for updates frequently.

Also, if the due dates listed here differ from WebCampus, use the date listed on WebCampus!

Week Mon. meeting Wed. meeting (R mini-lab) Assignments
Aug. 29 (week 1) Overview: R and statistics P-values, statistical tests
Sept. 5 (week 2) No Class (labor day) Exercise 1: functions and summary stats
Sept. 12 (week 3) Central limit theorem (CLT) and sampling distributions Central limit theorem (CLT) and sampling distributions Exercise 1 due 9/16
Sept. 19 (week 4) Taxonomy of statistics t-tests and z tests Project proposals due 9/23
Sept. 26 (week 5) t-tests and z-tests Exercise 2: t-tests Exercise 2 due 10/5
Oct. 3 (week 6) Chi-squared tests No class (Kevin at conference)
Oct. 10 (week 7) Linear regression Exercise 3: linear regression Exercise 3 due 10/19
Oct. 17 (week 8) Linear regression Discussion: p-values p-value readings (see WebCampus)
Oct. 24 (week 9) Linear regression Exercise 4: Multiple linear regression Exercise 4 due 11/4
Oct. 31 (week 10) ANOVA ANOVA
Nov. 7 (week 11) No class (Kevin at conference) No class (Kevin at conference)
Nov. 14 (week 12) GLM GLM Draft project ms due 11/18
Nov. 21 (week 13) GLMM OPTIONAL: review roadrunner assignment (multiple linear regression)
Nov. 28 (week 14) GLMM No class (Kevin at conference) Peer reviews due 11/30
Dec. 5 (week 15) Machine Learning Discussion: code and data sharing
Dec. 12 (week 16) Next steps- multivariate, Bayesian, etc. no class Final projects due Dec 16