STA-209 - Applied Statistics (Fall 2024)

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Last updated: Mon Dec 16 2024, 09:09

Syllabus

Welcome to the course website for STA 209, Introduction to Applied Statistics. To begin, you can find the course syllabus linked below:

• Click here to view the course syllabus

You can locate course content by scrolling, or by using the navigation bar in the upper left.

Please note: material will not be posted until we’ve reached that point in the course.

Math lab hours

Course Materials

Solutions

Homework Solutions

• Homework 5 (Probability)

Lab Solutions

• Lab 5 Regression Solutions
• Lab 6 dplyr extra Solutions
• CLT worksheet solutions (tbd)
• Lab 8 Solutions (t-distribution and Bootstrap)

Worksheets

• Probability Worksheet 1
• Probability Worksheet 2
• Probability Worksheet 3

Exam #1 Content

Week 0 (Intro)

Date	Lecture	Lab	Reading
Mon 8/26	-	-	-
Wed 8/28	-	-	-
Fri 8/30	Syllabus	-	-

Assignments and Deadlines:

1. Download R
2. Download R Studio
3. (Windows only, maybe) Download Rtools44

Week 1 (Data Summaries and Visualization)

Date	Lecture	Lab	Reading
Mon 9/2	Intro to R	Intro to R	Packages
Wed 9/4	Introduction to Statistics	ggplot2
Fri 9/6	Data Summaries – Visualization	Continue ggplot

Assignments and Deadlines:

• Homework 1 due Fri Sept 13 at 10pm
• Lab 1 due Fri Sept 6 at 10pm

Note: Homework should be neatly formatted with questions specified as headers and with your R code and written solutions underneath. Here is an example of how it should look.

Week 2 (Tables and Numerical Summaries)

Date	Lecture	Lab	Reading
Mon 9/9	Numerical Summaries	Continue ggplot lab
Wed 9/11	Numerical Summaries cont.	Table Lab
Fri 9/13	Tables	Cont. Table Lab

Assignments and Deadlines:

• Lab 2 due Fri Sept 13 at 10pm
• Homework 2 due Fri Sept 20 at 10pm
• Bonus lab for ggplot2 for scales, axes, colors, and themes

Week 3 (Odds and Z-Scores)

Date	Lecture	Lab	Reading
Mon 9/16	Odds	dplyr
Wed 9/18	Z-Scores and Correlation	Cont. dplyr
Fri 9/20	Regression	Regression and Correlation

Assignments and Deadlines:

ASSIGNED

• Homework 3 due Friday, Sept 27 at 10pm

DUE

• Homework 2 due Friday, Sept 20 at 10pm
• Table lab due Wednesday, Sept 18 at 10pm

Week 4 (Regression)

Date	Lecture	Lab	Reading
Mon 9/23	Regression (Categorical Predictors)	Cont. Regression Lab
Wed 9/25	Regression Multivariate	Cont. Regression Lab
Fri 9/27	Review Day

Assignments and Deadlines:

• Exam 1 Topic List
• Practice Exam (Solutions at mentor sessions)
• Comprehensive Review Sheet

DUE

• Homework 3 due Friday, Sept 27 at 10pm
• dplyr lab due Friday, Sept 27 at 10pm
• Regression lab due Friday, Sept 27 at 10pm

Exam #2 Content

Week 5 (Study Design)

Date	Lecture	Lab	Reading
Mon 9/30	Exam 1 😎
Wed 10/2	R day	dplyr and ggplot
Fri 10/4	Study Design	cont	Reading

Assignments and Deadlines:

• Exam Notes

• dplyr cheatsheet

Extra tentative from this point on

Week 6 (Probability)

Date	Lecture	Lab	Reading
Mon 10/7	Probability 1 (Introduction)	Worksheet 1	Reading (Sections 3.1)
Wed 10/9	Probability 2 (Conditional and Independence)	Worksheet 2	Reading (Sections 3.1 and 3.2)
Fri 10/11	Probability 3 (Bayes)	Worksheet 3	Reading (Sections 3.2)

Assignments and Deadlines:

• CHECK OUT THIS NEAT VIDEO

• Exam 1 corrections due Friday 10/11

• Reading (Sections 3.1 and 3.2)

• Homework 5 due 10/18

• Bonus dplyr lab due Friday 10/11

Week 7 (Sampling Distributions)

Date	Lecture	Lab	Final Project
Mon 10/14	Sampling Distribution	Fish 1 and Fish 2
Wed 10/16	Normal Approximation and Intervals
Fri 10/18	CLT Worksheet	CLT Lab Overview

Assignments and Deadlines:

• CHECK OUT THIS OTHER NEAT VIDEO
• Homework 5 due 10/18
• CLT Worksheet, we will think of something to do with this

FALL BREAK

(yay)

Assignments and Deadlines:

Week 8 (Sampling Distributions)

Date	Lecture	Lab	Final Project
Mon 10/28	t-distribution	Continue last week lab
Wed 10/30	t-distribution	t-Dist and Bootstrap
Fri 11/01	Bootstrapping	Lab

Assignments and Deadlines

• CLT lab due to the course mentor at the start of class 11/01
• Homework 6 due 11/08 at 10pm
• Lab 8 due 11/06 at 10pm

Week 9 (Hypothesis Testing)

Date	Lecture	Lab	Final Project
Mon 11/4	Hypothesis Testing	Hypothesis Testing
Wed 11/6	👽	Tools
Fri 11/8	Null Distributions	Null Distribution Worksheet

Assignments and Deadlines:

• Jeopardy Slides
• Jeopardy Solutions
• Critical value sheet

Exam #3 Content

Week 10 (Strength of Evidence and Decision Error)

Date	Lecture	Lab	Final Project
Mon 11/11	Strength of Evidence
Wed 11/13	Exam 2 😎
Fri 11/15	Decision Error		Final Project

• Exam 2 Topic List (Updated 11/7)
• Practice Exam
  • Practice Exam 2 Solutions
• CLT Funsheet Answers
• Null Distribution Solutions
• Homework 6 Solutions
  • Some of these aren’t quite what I want and will be making corrections to give to the graders. In particular, the odds ratio I know is worded a little funny
• Lab 9 Solutions
• Tingyu’s Review Sheet

Week 11 (\(\chi^2\) Tests)

Date	Lecture	Lab	Final Project
Mon 11/18	Difference Tests	Hypothesis Testing cont.
Wed 11/20	\(\chi^2\) test (Goodness of Fit)
Fri 11/22	\(\chi^2\) test (Independence)

• NOTE: Exam corrections only necessary if you are making up exam
• Homework 7 due Sunday
• Hypothesis Testing Lab due Wed Nov 27
• Pick groups by Wednesday
• Mentor Evaluations!

Week 12

Date	Lecture	Lab	Final Project
Mon 11/25	Data Entry	Data Entry
Wed 11/27	Makeup Exam
Fri 11/29	Thanksgiving

Week 13

Date	Lecture	Lab	Final Project
Mon 12/2	ANOVA	ANOVA
Wed 12/4	ANOVA 2
Fri 12/6	Regression	Regression

• Homework 8 due 12/13
• ANOVA lab due 12/9
• Project data analysis due 12/9

Project Stuff

• 4 minute video on putting data into R
• Example Project Writeup
• Rmd file associated with writeup

Week 14

Date	Lecture	Lab	Final Project
Mon 12/9	Residual Analysis
Wed 12/11	Multivariate Regression
Fri 12/13	Review

• Practice Exam

• Practice Exam Key

• Topic List

• Exam 3 Cheat Sheet

• Solutions to Review

• SmartEvals Survey

• Hw Solutions

• ANOVA lab solutions

Week 15 (Final Exam Week)

Exams in Noyce 2402

• STA-209-01 (8:30-9:50) – Tuesday, Dec 17 9am-12pm
• STA-209-02 (10:00-11:20) – Wednesday, Dec 18 9am-12pm

Two options, you can pick day of:

• Standard Exam 3 written to be an 80 minute exam
• Comprehensive Exam 3, written to be 160 minute exam
  • Replace lowest exam grade for Exam 1 or Exam 2