Tentative schedule:

Below is a tentative schedule for the course (PS: Problem set, L: Lab, PE: Peer evaluation, and PR: Project, RA: Readiness assessment, PA: Performance assessment).

Links to slides and assignments will be updated prior to each unit. Additional resources (learning objectives, videos, etc.) for each unit under the resources tab.

Week Unit Day Date Topic Due / In class
Week 1 Unit 1 M 26-Aug Getting to know you survey
Gmails for RStudio accounts
Develop questions for the class survey
T 27-Aug Introduction
R 29-Aug Data collection, observational studies and experiments Pretest (Access code: LSR9129LSP)
Application exercise: 1.1 Scientific studies in the press
Sa 01-Sep By midnight: Class survey
Week 2 M 02-Sep Lab 0 - Intro for R and RStudio - [video]
T 03-Sep Exploratory data analysis RA1
Application exercise: 1.2 Shapes of distributions
Application exercise: 1.3. Variability
R 05-Sep EDA (cont.) + Introduction to statistical inference
F 06-Sep PA1, Clicker registration
Week 3 Unit 2 M 09-Sep Lab 1 - Introduction to data
T 10-Sep Probability and conditional probability RA2
R 12-Sep Bayes' theorem and Bayesian inference PS1
Application exercise: Breast cancer screening
Week 4 M 16-Sep Lab 2 - Probability L1
T 17-Sep Normal distribution PE1
Application exercise: Working with the normal distribution
R 19-Sep Binomial distribution PS2
F 20-Sep PA2
Week 5 Unit 3 M 23-Sep Lab 3 - Foundations for inference: Sampling distributions L2
T 24-Sep Variability in estimates and CLT RA3
R 26-Sep Confidence intervals and hypothesis testing PS3
Week 6 M 30-Sep Lab 4 - Foundations for inference: Confidence intervals L3
T 01-Oct Decision errors, significance levels, sample size, and power
Application exercise: 3.1 Calculating power
R 03-Oct Review / synthesis PS4
Practice problems & solutions
Midterm - Spring 2013 - [Key]
F 04-Oct PR1 Proposal, due at 5pm
Sa 05-Oct PA3
Week 7 M 07-Oct Review / synthesis L4
T 08-Oct MIDTERM - [grade distribution]
Unit 4 R 10-Oct Comparing two means PE2
Application exercise: 4.1 Comparing two means
Week 8 M 14-Oct Fall Break - No lab
T 15-Oct Fall Break - No class
R 17-Oct Bootstrap intervals PS5, RA4
Week 9 M 21-Oct Lab 5 - Inference for numerical variables
T 22-Oct t-tests/intervals
R 24-Oct ANOVA PS6
Application exercise: Comparing two or more means
F 25-Oct
S 26-Oct PA4
Week 10 Unit 5 M 28-Oct Lab 6 - ANOVA + Inference for categorical variables L5
T 29-Oct Large sample proportions RA5
R 31-Oct Guest lecture - Tim Hesterberg (Google) PS7
F 1-Nov PE3
Week 11 M 04-Nov Lab - Work on Project 1 L6
T 05-Nov Small sample proportions
R 07-Nov Chi-square PR1, due in class
F 08-Nov PA5
Week 12 Unit 6 M 11-Nov Lab 7 - Simple linear regression
T 12-Nov Introduction to SLR RA6
R 14-Nov Outliers & Inference for SLR PS8
S 16-Nov PA6
Week 13 Unit 7 M 18-Nov Lab 8 - Multiple linear regression L7
T 19-Nov Introduction to MLR RA7
R 21-Nov Model selection & diagnostics for MLR PS9
Application exercise: MLR: Interpretations & diagnostics
Week 14 M 25-Nov Lab - Work on project 2 L8
T 26-Nov Confidence and prediction intervals & Transformations
R 28-Nov Thanksgiving - no class
Week 15 M 02-Dec Lab - Project 2 Presentations PA7
T 03-Dec Bayesian vs. frequentist inference
Application exercise: Bayesian inference (revisited)
R 05-Dec Review / synthesis - [Solutions] PR2, PS10
MT2 - S12, MT2 - S12 - Key
Final Review, Final Review - Key
Final Review - Add Q, Final Review - Add Q - Key
Posttest (Access code: CYE4118OBM)
Week 16 T 10-Dec PA8 (extra credit)
W 11-Dec Final review, 5:30pm - 6:30pm, FCIEMAS SCHICIANO A
F 13-Dec FINAL (2pm - 5pm)