Menu:
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.
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
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