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

Mar. 25: Probability Theory [HW]

Mar. 27: The Box Model [HW]

Apr. 1: Expected Value and Standard Error [HW]

Apr. 3: Normal Approximation for the Box Model [HW]

Apr. 8: Box Model for Sample Surveys [HW]

Apr. 10: Confidence Intervals for Percents [HW]

Apr. 15: Confidence Intervals for Averages [HW]

Apr. 17: Hypothesis Testing [HW]

Apr. 22: Comparing Groups [HW]

Apr. 24: That’s All, Folks [HW]

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Carlisle Rainey