Calendar
The course calendar will be updated throughout the term to reflect what we have covered/will cover in class. Additionally, homework assignments and reading/viewing assingments will be posted here. You should check this page often.
Take note of the following conventions:
- Homework will be post on the date assigned, with the due date marked in parentheses.
- All reading/viewing should be done before class.
| Week | Date | Topic/Materials | Lab/Assignment | Reading/Videos |
|---|---|---|---|---|
| 1 | Mon 9/12 | Intro to statistical thought
(Intro to 107, Intro to data) |
Day 1 Questionnaire
HW0 (due Wed 9/14) HW1 (due Fri 9/16) (Solutions) hpi.csv |
Syllabus |
| Wed 9/14 | Tidy data + statistical graphics
(Tidy data, Stat graphics) |
Read 1.1, 2.1, 2.2 (p. 60-64) | ||
| Fri 9/16 | Intro to R + statistical graphics | HW2 (due Tues 9/20) (Solutions) |
Read 2.4, 2.5 (p. 103-106),
Why R?, and R and RStudio Basics Take reading quiz |
|
| 2 | Mon 9/19 | Intro to R + statistical graphics (R markdown lab template) |
Lab 1 (due 9/23) AmesHousing.csv HW3 (due 9/26 in class) (Solutions) hpi.csv |
Read prelab
Watch R tutorials on installing and loading packages, importing a dataset into RStudio, and data visualization using ggplot2 Take reading quiz |
| Wed 9/21 | Intro to R + Summary statistics (Slides) |
Read 2.1, 2.2 (p. 64-68), 2.3 Watch Mean & median, Standard deviation Take reading quiz Watch R markdown for lab 1 |
||
| Fri 9/23 | Summary statistics (R example: html, rmd) |
HW4 (due 9/27) (Solutions) |
Watch Summary statistics in R | |
| 3 | Mon 9/26 |
Data Wrangling (R command patterns) |
Lab 2 (due 9/28) (rmd version of lab, colleges2015.csv) |
Read Manipulating Data |
| Wed 9/28 | Sampling (Sampling in R) Aribtrary sampling results Random sampling results |
Read 1.2 Take reading quiz |
||
| Fri 9/30 | Causality and experiments (Slides) |
Read 1.3 Take reading quiz |
||
| 4 | Mon 10/3 | Wrap up and review | ||
| Wed 10/5 | Exam 1 (Review Materials, Solutions) |
|||
| Fri 10/7 | Randomization (permutation) tests | Lab 3 (Solutions)
HW 5 (Solutions) (due 10/11) Verizon.csv |
Read 4.1 Watch John Rauser's keynote from Strata + Hadoop 2014 |
|
| 5 | Mon 10/10 | Formalizing hypothesis tests (Slides) |
Read 4.2, 4.3 Take reading quiz Complete midterm course evaluation |
|
| Wed 10/12 | Testing a difference in proportions | Lab 4 (Solutions) | Read 4.4 | |
| Fri 10/14 | From testing to estimation (Slides: Statistical errors) |
HW 6 (Solutions) (due 10/19 in class) |
||
| 6 | Mon 10/17 | Sampling distributions and CIs (slides) |
Lab 5 | Read 3.1, 3.2 Take reading quiz |
| Wed 10/19 | Bootstrap CIs | Lab 5 – Part II Extra credit homework (Solutions) |
Read 3.3 Take reading quiz |
|
| Fri 10/21 | No Class – MTRP | |||
| 7 | Mon 10/24 | Bootstrap CIs (Slides) |
||
| Wed 10/26 | Wrap up and review | |||
| Fri 10/28 | Exam 2 (Review Materials, Solutions) |
|||
| 8 | Mon 10/31 | Correlation and intro to simple linear regression (slides) |
HW 7 (due 11/8) | Read: 2.5, 2.6 Watch: Slope-intercept form |
| Wed 11/2 | Simple linear regression in R | Lab 6 (Solutions) | Take reading quiz | |
| Fri 11/4 | Regression inference and diagnostics (Slides) |
|||
| 9 | Mon 11/7 | Normal distribution (Slides) |
HW 8 (due 11/14 at the beginning of class) | Read 5.1 Watch Finding probabilities Watch Finding cutoff points Take reading quiz |
| Wed 11/9 | Normal distribution | Read 5.2 Watch Central Limit Theorem Take reading quiz |
||
| Fri 11/11 | t-dsitribution and inference (Slides) |
HW 9 (due 11/16) | Read 6.4-6.6 | |
| 10 | Mon 11/14 | One-sample procedures | ||
| Wed 11/16 | Wrap up and review | |||
| Fri 11/18 | No Class – Reading Period | |||
| Finals | Tues 11/22 | 11:10 section Final exam @ 8:00 to 10:30 a.m.
(Review Materials) |
||
| Tues 11/22 | 1:50 section Final exam @ 11:30 a.m. to 2:00 p.m. (Review Materials) |