Course Schedule

Jan. 7: Introduction [HW]


Part I: Approaching Data

Jan. 9: Questions [HW]

Jan. 14: Models [HW]

Jan. 16: Statistical Computing with R [HW]

Jan. 21: MLK Holiday (No Meeting)

Jan. 23: Causality [HW]

Jan. 28: Loading Data in R [HW]


Part II: Describing Data

Jan. 30: Histograms [HW]

Feb. 4: Histograms in R [HW]

Feb. 6: Exam 1

Feb. 11: Avg. and SD [HW]

Feb. 13: Avg. and SD in R [HW]

Feb. 18: Normal Approximation [HW]

Feb. 20: Measurement [HW]

Feb. 25: Correlation [HW]

Feb. 27: Regression I [HW]

Mar. 4: Regression II [HW]

Mar. 6: Regression III [HW]

Mar. 11: Regression IV [HW]

Mar. 13: Exam 2


Creative Commons License
Carlisle Rainey