STA-209 - Applied Statistics (Fall 2024)

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Last updated: Sun Oct 13 2024, 19:21

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

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

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

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

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

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

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

Date	Lecture	Lab	Final Project
Mon 10/14	Sampling Distribution	Fish 1 and Fish 2
Wed 10/16	Central Limit Theorem
Fri 10/18	Normal Approximation and Intervals

Assignments and Deadlines:

• CHECK OUT THIS OTHER NEAT VIDEO
• Homework 5 due 10/18

FALL BREAK

(yay)

Assignments and Deadlines:

Week 8

Date	Lecture	Lab	Final Project
Mon 10/28	Active Review
Wed 10/30	hypothesis testing
Fri 11/01	decision error

Week 9

Date	Lecture	Lab	Final Project
Mon 11/4	multiple testing
Wed 11/6	Review day
Fri 11/8	Exam 2

Assignments and Deadlines:

Exam #3 Content

Week 10

Date	Lecture	Lab	Final Project
Mon 11/11	difference tests
Wed 11/13	chi2
Fri 11/15

Week 11

Date	Lecture	Lab	Final Project
Mon 11/18	\(\chi^2\) test
Wed 11/20	ANOVA
Fri 11/22	ANOVA

Week 12

Date	Lecture	Lab	Final Project
Mon 11/25	ANOVA/Regression
Wed 11/27	Multiple Regression
Fri 11/29	Thanksgiving

Week 13

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

Week 14

Date	Lecture	Lab	Final Project
Mon 12/9	Project Work Day
Wed 12/11	Review
Fri 12/13	Final Exam, probably