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Helpful Hints on Getting Data Ready
| Step | Due Date |
|---|---|
| Data Selection/Project Proposal | October 10 |
| Data Reading/Check In | October 31 |
| Presentations | November 14 |
It’ll be the full 80 minutes. You may bring a notecard and a calculator. If you do not have a calculator you may leave your answer unsimplified. Eg predicted price = $ e^2.19.
| Study Guide | Date |
|---|---|
| Exam 1 Study Guide | Friday October 17th |
| Exam 2 Study Guide | Monday Dec 1st |
| Final Exam Study Guide | Thursday Dec 18th |
All homework is due at 9pm unless clearly specified otherwise.
| Rmd | Due Date | Helpful Things |
|---|---|---|
| Homework 1 | October 1st | Examples of the graphs you’ll be remaking |
| Homework 2 | October 15th | |
| Homework 2 SOLUTIONS | ||
| Homework 3 | Nov 12 | |
| Homework 4 | Nov 19 |
| Title | Author | Journal | Year | Quiz |
|---|---|---|---|---|
| Tidy Data | Hadley Wickham | Journal of Statistical Software | 2014 | 9/15 |
| Principles of Effective Data Visualization | Stephen R. Midway | Patterns | 2020 | 10/6 |
| Somewhere Over the Rainbow: An Empirical Assessment of Quantitative Colormaps | Yang Liu & Jeffrey Heer | Conference on Human Factors in Computing Systems Proceedings | 2018 | 11/7 |
Please note that you are fully allowed (encouraged even!) to visit during office hours to talk about the required reading if you’d like. I’m glad to chat about it and discuss any questions you might have. Also please note that I’d like you to understand the broad strokes of the paper/what the author is getting at. I will avoid quizzing you over the nitty-gritty details.
| Date | Lecture | Lab | Suggested Reading |
|---|---|---|---|
| Fri 8/28 | Syllabus | - | - |
| Introduction | - | IMS Sections 1.2.1-1.2.3 |
| Date | Lecture | Lab | Suggested Reading |
|---|---|---|---|
| Wednesday 9/3 | Intro to R | lab 1 | - |
| - | - | lab 1 Helpful Hints | H. Wickham discussing enviroments in R |
| Friday 9/5 | Visualizations in R | Continue lab 1 | - |
| Date | Lecture | Lab | Suggested Reading |
|---|---|---|---|
| Monday 9/8 | Data Visualization II (Boxplots) | - | |
| Wednesday 9/10 | Data Visualization III (Accessibility) | data vis lab | - |
| Friday 9/12 | - | Finish lab 2 | - |
| Date | Lecture | Lab | Suggested Reading |
|---|---|---|---|
| Monday 9/15 | ggplot2 | ggplot2 lab | - |
| Wednesday 9/17 | Finish ggplot2 lab | - | |
| ggplot2 helpful hints | |||
| Friday 9/19 | Numeric Summaries | Code Along |
| Date | Lecture | Lab | Suggested Reading |
|---|---|---|---|
| Monday 9/22 | Correlation if time | - | Finished Code Along |
| Wednesday 9/24 | Correlation | - | Correlation Code Along |
| Friday 9/26 | Simple Linear Regression Part 1 | Finished correlation code along |
| Date | Lecture | Lab | Suggested Reading |
|---|---|---|---|
| Monday 9/29 | Finish Simple Linear Regression | Linear Regression Code Along | |
| Wednesday 10/01 | Linear Regression Lab | ||
| Wednesday 10/01 | Finish Lab |
| Date | Lecture | Lab | Suggested Reading |
|---|---|---|---|
| Monday 10/06 | Transformations | Slide 29 corrected | |
| Wednesday 10/08 | Transformations Finished, Categorical Predictors | Lego code_along | |
| Wednesday 10/08 | Lego code_along_finished | ||
| Friday 10/10 | Lego Code Along for Transforms | ||
| Friday 10/10 | Lego Code Along for Transforms Done |
| Date | Lecture | Lab | Suggested Reading |
|---|---|---|---|
| Monday 10/13 | Simulations | ||
| Wednesday 10/15 | Review Day | ||
| Friday 10/17 | Exam |
| Date | Lecture | Lab | Suggested Reading |
|---|---|---|---|
| Monday Oct 27 | probability | ||
| Wednesday Oct 29 | Permutation Test | How to write a csv file | |
| Halloween | Normal Distribution |
| Date | Lecture | Lab | Suggested Reading |
|---|---|---|---|
| Nov 3 | Sampling Distributions | ||
| Nov 5 | Z-tests if time | Dice Lab | |
| Nov 7 | Z-tests finished | hypothesis statement practice |
| Date | Lecture | Lab | Suggested Reading |
|---|---|---|---|
| Nov 10 | Confidence Intervals | Z-test lab | |
| Nov 12 | t-tests |
| Date | Lecture | Lab | Suggested Reading |
|---|---|---|---|
| Nov 17 | t-tests and confidence intervals | Confidence Interval Simulator | |
| Nov 17 | Sampling Methods | ||
| Nov 19 | More Inferences | practice | practice finished |
| Nov 21 | More Inferences Final |
| Date | Lecture | Lab | Suggested Reading |
|---|---|---|---|
| Nov 24 | Errors | Linear Regression: I’m BACK | |
| Nov 26 | Adv Regression |
| Date | Lecture | Lab | Suggested Reading |
|---|---|---|---|
| Dec 1 | SNOW DAY!! | ||
| Dec 3 | Exam Day | ||
| Dec 5 | Regression Testing | Regression Testing |
| Date | Lecture | Lab | Suggested Reading |
|---|---|---|---|
| Dec 8 | Multiple Linear Regression | ||
| Dec 10 | ANOVA |
Welcome to the course website for SAT 209, Applied Statistics. To begin, you can find the course syllabus linked below:
You can locate course content by scrolling, or by using the outline in the upper left. Please note: material will not be posted until we’ve reached that point in the course.
My goal is to include the R code that I use to make different graphs, expamples, etc…, for the course. Most of it will be more advanced than what I will teach you or that you need but I want you to have access to examples if you’d like.
Please go here.