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Drop In Hours: M 2:20-3:20, W 11:20-12:20, F 12:20-1:20 in Olin 202
TA Session: Tuesday 12-1 in Olin 216 with Gege Tian (tian_g2)
Course resources can be found at remote.denison.edu
Our textbook's website
Install R, then RStudio
Applets from Rossman, Applets from Statlab, Applets from Online Stat Book
R Resources: R for Windows, R for Mac, Quick-R, and R Reference Card. R FAQ, Wikibook and list of free books. CodeSchool, Coursera
DataCamp Open Intro Labs
DataCamp tutorial to learn R if you know SPSS, STATA, or SAS
Version of 242 from Fall 2015
Math 401: Statistical Modeling from Spring 2016
Read: How to Write a Stats Paper

Readings marked with * should be done at this website, not in the book's text. The website only has the Computational Technique sections, and you are to read all the material pertaining to the chapter. For instance, when it says 2.5*, read all of 2: Data in R (that is: 2.1, 2.2, ..., 2.6), not just the subsection 2.5: Adding a New Variable. You may then skip section 2.5 in the book.

Reading Questions and in-class activities may be found in the Shared Drive.


Day Date Topic
Reading Due
Work Due

Th Sep 1 Course overview



F Sep 2 Lab 0: R 1.1-1.3, 1.4*
Ch 1 Reading Questions
1 M Sep 5 Types of data
Syllabus
2.1-2.4
Syllabus Quiz
Ch 2 Reading Questions

W Sep 7 Standard deviation, range, variance
3.1-3.3
Install R

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


F Sep 9 Group-wise models
3.4, 4.1-4.3
Lab 0
Ch 3 Reading Questions
2 M Sep 12 Confidence Intervals App, Sampling Distribution 4.4-4.5, 5.1
Ch 4 Reading Questions

W Sep 14 Bootstrapping StatKey, ASA on p-values
5.2-5.5
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
6.1-6.3
5.01p, 5.02p, 5.41, 5.42 using R code

W Sep 21 Model Terms, Interaction
6.4-6.6
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
7.1-7.5
Lab 2
4 M Sep 26 Fitting linear models, correlation 7.6, 8.1-8.2, 9.1-9.2
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
7.7-7.9
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
10.1-2, 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 10.3-10.4 Lab 5, Ch 10 Reading Questions
7 M Oct 17 Regression confidence intervals
12.1-12.3
t-table
Semester-long project proposals

W Oct 19 Prediction intervals, CIs: std dev, corr
12.4-12.6
dataAct25
Ch 12 Reading Questions

Th Oct 20 Fall Break
Video on CIs
Video2


F Oct 21 Fall Break

Undergrad stats e-conference
8 M Oct 24 Choosing Predictors Backwards, Best, Forward, Stepwise
Handouts:QQ, VIFs, Choose Predictors


W Oct 26 t-tests
AIC, BIC
Samp. Variability
13.1-13.4,
Handout: Assess Model
Video on SE
Video on Sampling
Video on Hyp Test

Th Oct 27 Type I & type II error, effect size 13.5-13.8
Effect Size
Lab 6, Ch 13 Reading Questions

F Oct 28 Lab 7: kids feet, sleep deprivation (shared drive) 12.7*, Lab Guidelines
p-value video
What is a p-value?
p-value & power
Meta Video
9 M Oct 31 F-tests and the regression model
14.1-14.3
Khan: SST
Khan: SS's
Khan: F-tests

W Nov 2 Bonferroni
Scheffe, Tukey
14.4, ANOVA Post Hoc Tests
Ch 14 reading questions

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

F Nov 4 Nested ANOVA
2-Way ANOVA
15.1-15.3
Watch: 2Way
Lab 7
10 M Nov 7 2-Sample t-test
2-Sample CI
Paired test
Handout. Watch: Schis-
tosomiasis
Election day tomorrow!
First project check-in

W Nov 9 Multi-way ANOVA, Conditions for Regression 15.4-15.5
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.
15.6-15.7
handout
Video:Outliers
Ch 15 reading questions
Lab 8
11 M Nov 14 Influential Pts
Leverage, Plots
Handout
project check-in

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 check-in
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 check-in

W Dec 7 Categorical Data Analysis, Chi-Square Tests Good/Fit
Test indep
Handout
Khan: chi-sq Fit
Chi-Sq:chi-sq Indep
vid:Homogeneity

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

F Dec 9 Correlation is not Causation
Spurious Cor
17.1-17.4.2,
Generalized Linear Model

15 M Dec 12 Presentations 17.4.2-18.1
project check-in

W Dec 14 Presentations
18.2-18.3


Th Dec 15

Lab 12

F Dec 16 Exam 3 (in class)

Take-Home Final due Monday 9am

Polling Links...
http://projects.fivethirtyeight.com/2016-election-forecast/national-polls/
http://www.realclearpolitics.com/epolls/latest_polls/elections/
http://www.politico.com/2016-election/polls/
http://www.nytimes.com/interactive/2016/us/elections/polls.html
http://www.census.gov/quickfacts/table/PST045215/00
http://www.census.gov/topics/public-sector/voting.html
http://www.gallup.com/topic/politics.aspx