Day  Date  Topic 
Reading Due 
Work Due  
Th  Sep 1  Course overview 

F  Sep 2  Lab 0: R  1.11.3, 1.4* 
Ch 1 Reading Questions  
1  M  Sep 5  Types of data 
Syllabus 2.12.4 
Syllabus Quiz Ch 2 Reading Questions 
W  Sep 7  Standard deviation, range, variance 
3.13.3 
Install R 

Th  Sep 8  Lab 1: Data 
2.5*, 3.5* 

F  Sep 9  Groupwise models 
3.4, 4.14.3 
Lab 0 Ch 3 Reading Questions 

2  M  Sep 12  Confidence Intervals App, Sampling Distribution  4.44.5, 5.1 
Ch 4 Reading Questions 
W  Sep 14  Bootstrapping StatKey, ASA on pvalues 
5.25.5 
Ch 5 Reading Questions  
Th  Sep 15  Lab 2: Sampling Distribution, Privacy 
4.7*, 5.6* 

F  Sep 16  Parametric CIs, Reese's Pieces, Why 95%? 
Handout 
Lab 1 

3  M  Sep 19  Using Models, Graphing 
6.16.3 
5.01p, 5.02p, 5.41, 5.42 using R code 
W  Sep 21  Model Terms, Interaction 
6.46.6 
Ch 6 Reading Questions  
Th  Sep 22  Lab 3: Confidence Intervals 
6.7* 
Units 1 and 2 here, put in shared drive 

F  Sep 23  Linear models, multivariate,
residuals 
7.17.5 
Lab 2 

4  M  Sep 26  Fitting linear models, correlation  7.6, 8.18.2, 9.19.2 
Polling Project Part 1, put in shared drive. 
W  Sep 28  Normal distribution, heteroskedasticity  11.1, 11.2, 11.4, 11.5.2, 11.6  Units 3, 4, 5 here, put in shared drive Do 7.22 on Activity 12 

Th  Sep 29  Lab 4: Linear regression 
7.10*, 8.5* 

F  Sep 30  Model design, interaction 
7.77.9 
Lab 3 Ch 7 Reading Questions 

5  M  Oct 3  Redundancy, OLS Geom.,Deriving regression eqns 
8.3, 8.4, 9.3, 9.5, optional 
Ch 8 Reading Questions Polling Part 2 
W  Oct 5  Probability Benford's Law 
Finish chapter 11  Ch 11 Reading Questions  
Th  Oct 6  Lab 5: Monte Carlo Simulations 
9.6*, 11.7*  Do 11.24 on Activity 19 

F  Oct 7  Nested models, regression theory 
9.4, handout, poll tampering 1, 2, and 3 
Lab 4 Ch 9 Reading Questions 

6  M  Oct 10  Review Day Exam (night) 


W  Oct 12  Partial vs total relationships, proxy 
10.12, abs vs rel risk  
Th  Oct 13  Lab 6: Multiple regression, adjusted R^2 
10.5* Adj R^2 

F  Oct 14  Geometry of covariates  10.310.4  Lab 5, Ch 10 Reading Questions 

7  M  Oct 17  Regression confidence intervals 
12.112.3 ttable 
Semesterlong project proposals 
W  Oct 19  Prediction intervals, CIs: std dev, corr 
12.412.6 dataAct25 
Ch 12 Reading Questions 

Th  Oct 20  Fall Break 
Video on CIs Video2 

F  Oct 21  Fall Break 
Undergrad stats econference 

8  M  Oct 24  Choosing Predictors Backwards, Best, Forward, Stepwise 
Handouts:QQ, VIFs, Choose Predictors 

W  Oct 26  ttests AIC, BIC Samp. Variability 
13.113.4, Handout: Assess Model 
Video on SE Video on Sampling Video on Hyp Test 

Th  Oct 27  Type I & type II error, effect size  13.513.8 Effect Size 
Lab 6, Ch 13 Reading Questions  
F  Oct 28  Lab 7: kids feet, sleep deprivation (shared drive)  12.7*, Lab Guidelines pvalue video 
What is a
pvalue? pvalue & power Meta Video 

9  M  Oct 31  Ftests and the regression model 
14.114.3 Khan: SST 
Khan:
SS's Khan: Ftests 
W  Nov 2  Bonferroni Scheffe, Tukey 
14.4, ANOVA Post Hoc Tests 
Ch 14 reading questions 

Th  Nov 3  Lab 8: Tukey Bulging Rule, pvalues uniform  14.5* Tukey Rule BoxCox 
Effect Size ANOVA 

F  Nov 4  Nested ANOVA 2Way ANOVA 
15.115.3 Watch: 2Way 
Lab 7  
10  M  Nov 7  2Sample
ttest 2Sample CI Paired test 
Handout. Watch: Schis tosomiasis 
Election day tomorrow! First project checkin 
W  Nov 9  Multiway ANOVA, Conditions for Regression  15.415.5 Watch: Mediation 
Homework: on 2 sample tests and matched pairs. 

Th  Nov 10  Lab 9: Inference Part1, Part2 
15.8* ANOVA GLM 

F  Nov 11 
Sample size and power, Outliers, ANOVA interact. 
15.615.7 handout Video:Outliers 
Ch 15 reading questions Lab 8 

11  M  Nov 14  Influential Pts Leverage, Plots 
Handout 
project checkin 
W  Nov 16  Review Class Exam (night) 
Read: How to Write a Stats Paper  
Th  Nov 17  No class 

F  Nov 18  Lab 10: data visualization and cleaning  Lab 9 HW = act 38, 40 Split or Steal 

12  M  Nov 21  Thanksgiving break 

W  Nov 23  Thanksgiving break  
Th  Nov 24  Thanksgiving break  
F  Nov 25  Thanksgiving break  
13  M  Nov 28  ANOVA Calc ANOVA Info ANOVA Calc2 
handout, Factorial ANOVA 

W  Nov 30  Time Series, AR, ACF, MA, PACF 
handout, vid: ARIMA,PACF  project checkin HW = exercise 4.8 

Th  Dec 1  Lab 11: Bull Sales 
Dummy Vars Handout 
Lab 10 

F  Dec 2  Logistic Regression  16.1, 16.2 


14  M  Dec 5  Logistic Regression 
16.3, 16.4* Watch (both) 
project checkin 
W  Dec 7  Categorical Data Analysis, ChiSquare Tests  Good/Fit Test indep Handout 
Khan:
chisq Fit ChiSq:chisq Indep vid:Homogeneity 

Th  Dec 8  Lab 12: Logistic 
handout, Vid, Vid:tutorial 
Lab 11 

F  Dec 9  Correlation
is not Causation Spurious Cor 
17.117.4.2, Generalized Linear Model 

15  M  Dec 12  Presentations  17.4.218.1 
project checkin 
W  Dec 14  Presentations 
18.218.3 

Th  Dec 15  Lab 12 

F  Dec 16  Exam 3 (in class) 
TakeHome Final due Monday 9am 