\(~\)

Last updated: Sat May 10 2025, 22:02

Syllabus

Welcome to the course website for SST 115, Introduction to Statistics. To begin, you can find the course syllabus linked below:

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.

Course Materials

Exam #1 Content

Week 1 (Introduction)

Date Lecture Lab Reading
Wed 1/22 Syllabus - -
Fri 1/24 Introduction Lab IMS Sections 1.2.1-1.2.3

Assignments and Deadlines

  1. Install R (https://cran.r-project.org/)
  2. Install RStudio (https://posit.co/download/rstudio-desktop/)

Week 2 (Intro to R & Data Visualization)

Date Lecture Lab Reading
Mon 1/27 Intro to R Intro R Lab -
Wed 1/29 Data Visualization Intro R Lab cont’d -
Fri 1/31 No Class - -

Assignments and Deadlines

  1. Intro R Lab due Sunday 2/02 at 10pm. I only want to see the 3 questions from the lab in your submission file, not the entire text of the tutorial lab. Practice formatting to make everything look pretty. Make sure to select answers in your submission on Gradescope.

Week 3 (Data Visualization and Numerical Summaries)

Date Lecture Lab Reading
Mon 2/03 Data Visualization Part 2 Data Viz Lab and Template -
Wed 2/05 - ggplot lab -
Fri 2/07 - ggplot lab cont’d -

Assignments and Deadlines

  1. Data Viz Lab due Wednesday 2/05 at 10pm.
  2. Homework 1 is assigned Monday 2/03 and will be due the following Monday 2/10 at 10pm. The R markdown file for writing your answers can be found here
  3. ggplot lab due Monday 2/10 at 10pm.

Week 4 (Describing Data / Study Design)

Date Lecture Lab Reading
Mon 2/10 Numerical Summaries - IMS Sections 5.2, 5.4, and 5.6
Wed 2/12 Tables Tables Lab -
Fri 2/14 Study Design Design Lab IMS Chapter 2 (pgs. 28-37)

Assignments and Deadlines

  1. Homework 2 assigned Wed 2/12 and due Friday 2/21 at 10pm.
  2. Tables Lab due Wednesday 2/19 at 10pm.
  3. Design Lab due Wednesday 2/19 at 10pm.
  4. Exam 1 will be Wednesday 2/26 during normal class time. Monday 2/24 will be a review day.

Week 5 (Correlation and Regression)

Date Lecture Lab Reading
Mon 2/17 Lab and Homework Day - -
Wed 2/19 Correlation Correlation and Regression Lab -
Fri 2/21 Linear Regression Correlation and Regression Lab -

Assignments and Deadlines

  1. Homework 3 is due Friday 2/27 at 10pm. The HW is extremely similar to some exam questions. I recommend finishing this early.
  2. Exam 1 will be Wednesday 2/26 during normal class time. Monday 2/24 will be a review day.

Week 6 (Exam 1)

Date Lecture Lab Reading
Mon 2/24 Review Day - Optional: IMS Chapter 7.1 - 7.2.4 (pages 105-119, avoid strength of fit section)
Wed 2/26 Exam 1 - -
Fri 2/28 - dplyr Lab -

Assignments and Deadlines

  1. Regression Lab due Monday 2/24 at 10pm.
  2. dplyr Lab due Wednesday 3/05 at 10pm.

Exam #2 Content

Week 7 (Probability)

Date Lecture Lab Reading
Mon 3/03 Probability 1 Probability Worksheet 1 OpenIntro Sections 3.1.1-3.1.4 and 3.1.6
Wed 3/05 Probability 2 Probability Worksheet 2 OpenIntro Sections 3.1.5 and 3.2.1-3.2.5
Fri 3/07 Odds and Relative Risk Probability Worksheet 3 -

Assignments and Deadlines

  1. Homework 4 due Friday 3/28 at 10pm.
  2. Exam Corrections due Friday 3/28 at 10pm (exam score is capped at 80% for corrections).

Week 8* (Normal Distributions)

Date Lecture Lab Reading
Mon 3/24 Normal Distributions Normal Distribution Lab -
Wed 3/26 Standard Deviation and Variance Normal Distribution Lab cont’d -
Fri 3/28 Sampling Distributions Sampling Distribution Lab -

Assignments and Deadlines

  1. Probability Worksheets scanned and uploaded to gradescope by Wednesday 3/26 at 10pm.
  2. Normal Distribution Lab due Friday 3/28 at 10pm.
  3. Sampling Distributions Lab due Monday 3/31 at 10pm (link was missing on Gradescope)

Week 9 (Confidence Intervals)

Date Lecture Lab Reading
Mon 3/31 Confidence Intervals for a Population Mean CI Lab 1 -
Wed 4/02 More on CIs CI Lab 1 cont’d -
Fri 4/04 CIs for Difference in Means CI Lab 1 cont’d CI for Means – Quick Guide

Assignments and Deadlines

  1. Exam 2 on Friday 4/11 in normal class time.
  2. CI Lab 1 due Sunday 4/06 at 10pm.
  3. HW5 due Friday 4/11 at 10pm.
  4. HW6 due Friday 4/18 at 10pm.

Week 10 (CIs and Exam)

Date Lecture Lab Reading
Mon 4/07 CIs for Proportions CI Lab 2 CI for Props. – Quick Guide
Wed 4/09 Review Day - -
Fri 4/11 Exam 2 - -

Assignments and Deadlines

  1. CI Lab 2 due Wednesday 4/08 at 10pm.
  2. Project Info

Week 11 (Hypothesis Testing)

Date Lecture Lab Reading
Mon 4/14 Hypothesis Testing 1 Testing Worksheet (PDF) Webpage Format -
Wed 4/16 Project and Worksheet Day Worksheet 1 cont’d -
Fri 4/18 HT - P-values and Test-stats Testing Worksheet 2 (PDF) Webpage Format -

Assignments and Deadlines

  1. Project groups due Wednesday night at 10pm.
  2. Testing Worksheet 1 due Friday 4/18 at 10pm.
  3. Testing Worksheet 2 due Monday 4/21 at 10pm.

Week 12 (Hypothesis Test cont’d)

Date Lecture Lab Reading
Mon 4/21 HT - Props and Means Testing Worksheet 3 (PDF) Webpage Format -
Wed 4/23 HT - More on Differences Worksheet 3 cont’d -
Fri 4/25 HT - Decision Making Testing Worksheet 4 (PDF) Webpage Format ASA Statement on P-values

Assignments and Deadlines

  1. Testing Worksheet 3 due Friday 4/25 at 10pm.
  2. Project proposal due Friday 4/25 at 10pm (gradescope link will be posted).
  3. Testing Worksheet 4 will take the place of HW7 due Friday 5/2 at 10pm.
  4. Exam 2 corrections will be posted on Gradescope and due Friday 5/2 at 10pm. Potentiality for half credit earned back for missed questions (available to all).

Week 13 (Chi-Square Tests)

Date Lecture Lab Reading
Mon 4/28 Chi Square Tests (GoF) Testing Lab -
Wed 4/30 Chi Square Tests (Ind.) Testing Lab cont’d -
Fri 5/02 Project How to Lie with Stats Lab How to Lie with Stats Book Chapter 5 – “The Gee-Whiz Graph” (pg. 60-65) Typed Copy

Assignments and Deadlines

  1. Testing Lab due Friday 5/02 at 10pm.
  2. Project exploratory analysis due Friday 5/09 at 10pm.

Project Writeup Example courtesy of Professor Nolte.

Week 14 (Finishing Up)

Date Lecture Lab Reading
Mon 5/05 Semester Review Methods Review Worksheet and Webpage Version -
Wed 5/07 More Lying With Statistics - -
Fri 5/09 AI and Machine Learning Review for Exam -

Assignments and Deadlines

  1. Project exploratory analysis due Friday 5/09 at 10pm.
  2. How to Lie with Stats Lab due Thursday 5/08 at 10pm.

Exam 1 Info

Exam 1 will be in-class Wednesday Feb. 26.

Exam 1 Topics Outline

Practice Exam 1

Exam 2 Info

Exam 2 will be in-class Friday 4/11.

Exam 2 Topics Outline

Practice Exam 2

Formula Sheet