Video Learning Platform
Open the STAT 350 Video Learning Platform
What it provides
All lecture videos organized by day with segment counts and total durations.
An interactive timeline for “click to jump” navigation by topic.
Theater Mode for focused viewing; Print to generate a printable outline.
Micro-lecture candidates visually highlighted for quick review.
Search/filter to locate topics across all 84 videos.
Notes
Best viewed on a desktop browser.
If a video fails to load, refresh the page or use the direct YouTube link.
STAT 350: Introduction to Statistics - Winter Session 2025
Intensive Asynchronous Online | December 22, 2025 - January 9, 2026
Welcome to the Winter offering of STAT 350! This is an intensive experience—fitting a full 16-week course into just 11 days (9 instructional days plus 2 exam days). Statistics isn’t just about crunching numbers; it’s about understanding uncertainty and making well-informed decisions based on evidence.
Critical Notice
This Winter session compresses an entire semester into eleven days. Treat it like a full-time internship: plan on at least 8 focused hours every instructional day. Falling behind even one day makes it nearly impossible to catch up. Success requires self-reliance, proactivity, and daily engagement.
Why This Course? Why Now?
We live in an era dominated by data. Every decision—from public health policies to business strategies—depends on accurate statistical reasoning.
Critical decision-making: Statistics is the backbone of research and industry. Incorrect interpretation can have serious real-world consequences.
Understanding uncertainty: Life is unpredictable. Statistical methods help you quantify, understand, and communicate uncertainty clearly.
The backbone of AI and machine learning: All modern AI models rely heavily on probability theory and statistical modeling—critical skills for the future workforce.
Winter Session Format
What makes this different:
9 instructional days covering 13 chapters of material
Daily cycle: Absorb → Apply → Assess → Review (~8-10 hours/day)
2 proctored exams: Midterm (Day 6) and Final (Day 11)
No makeup opportunities: The accelerated pace leaves no buffer for catching up
View the complete schedule: Winter Session Schedule
Daily Time Commitment:
📹 Lecture Videos | 2-4 hours |
📚 Reading | 1-2 hours |
✏️ Homework & Assignments | 2-4 hours |
✅ Daily Quiz | 20 mins |
⏰ TOTAL | ~8-10 hrs/day |
11-Day Course Roadmap
Day |
Date |
Topic & Focus |
Chapters |
---|---|---|---|
1 |
Dec 22 |
Foundations: Data types, descriptive statistics, R basics |
Ch 1-3 |
2 |
Dec 23 |
Probability: Rules, conditional probability, Bayes’ Theorem |
Ch 4 |
3 |
Dec 26 |
Discrete Distributions: Binomial, Poisson, expected values |
Ch 5 |
4 |
Dec 29 |
Continuous Distributions: Exponential, normal, z-tables |
Ch 6 |
5 |
Dec 30 |
Sampling & Design: Central Limit Theorem, experimental design |
Ch 7-8 |
6 |
Dec 31 |
MIDTERM EXAM (80 minutes) |
Ch 1-8 |
7 |
Jan 5 |
Single Population Inference: Confidence intervals and hypothesis tests for μ |
Ch 9-10 |
8 |
Jan 6 |
Two Population Means: Comparing groups, paired and independent samples |
Ch 11 |
9 |
Jan 7 |
ANOVA: Comparing multiple groups simultaneously |
Ch 12 |
10 |
Jan 8 |
Regression: Modeling relationships, correlation, diagnostics |
Ch 13 |
11 |
Jan 9 |
FINAL EXAM (140 minutes, cumulative) |
Ch 1-13 |
Your Daily Learning Cycle
- 1. Absorb (≈2-4 hours)
Complete assigned reading in the free digital webbook
Watch segmented lecture videos using the Video Learning Platform
Use search bar and timeline to target challenging topics
- 2. Apply (≈2-4 hours)
Work through Edfinity homework on scratch paper first
You have 10 attempts with instant feedback—use them to learn, not guess
Complete computer assignments using R
Record steps that slow you down for exam review
- 3. Assess (≈20 minutes)
Take the timed daily quiz in Brightspace (one attempt only)
Quizzes focus on conceptual understanding, mirroring exam questions
- 4. Review (≈1 hour)
Check posted solutions
Revisit video segments on challenging topics
Post or answer questions on the peer discussion board
Success Tips
Start early: The course opens before December 22—begin working ahead
Log in every morning: Check deadlines and announcements daily
Use the Video Platform strategically: Search for specific topics, use micro-lectures for quick review
Leverage peer support: Your classmates are your best resource for immediate help
Don’t rely heavily on AI: Students who use AI as a crutch consistently perform poorly on exams
Plan for limited instructor response: Email replies may take 24-48 hours; plan questions accordingly
Exam Requirements: Respondus LockDown Browser
Both the Midterm (Day 6 - December 31) and Final Exam (Day 11 - January 9) are proctored online using Respondus LockDown Browser with webcam monitoring. This system ensures exam integrity by restricting your computer to only the exam while monitoring you through your webcam.
WATCH THIS VIDEO BEFORE STARTING THE COURSE
You must watch this setup video to ensure you meet all exam requirements:
Failure to prepare your testing environment properly may prevent you from taking the exam, and there are no makeup opportunities in this winter session.
What is Respondus LockDown Browser?
Respondus LockDown Browser is a custom browser that locks down the testing environment within Brightspace. When you launch the exam:
Your computer is locked to the exam application only—you cannot access other programs, websites, or files
Your webcam records you throughout the entire exam session
Your screen is recorded to detect any unauthorized activity
You cannot print, copy, access other applications, or use virtual machines
The software includes a built-in scientific calculator for your use
Required Equipment:
Computer |
Desktop or laptop (Windows or macOS). Tablets and Chromebooks are NOT supported |
Webcam |
Working webcam that shows both your face and writing area. Most laptop webcams are not wide enough—you may need an external USB webcam |
Microphone |
Working microphone for audio recording |
Internet |
Stable connection of at least 2 Mbps (test at speedtest.net) |
ID |
Government-issued photo ID for identity verification before starting |
Testing Environment Requirements:
Private, quiet room with no other people present
Good lighting so your face is clearly visible throughout the exam
Clear desk with only allowed materials (see below)
No headphones or earbuds during the exam
No dual monitors—disconnect or disable second screens
Webcam positioned to show your face and hands/desk area at all times
Allowed Materials During Exams:
Handwritten or printed notes (your own crib sheets)
Basic calculator (or use the built-in calculator in LockDown Browser)
Scratch paper and pencil/pen for calculations
Statistical tables if needed (URLs will be provided in exam and allowed by browser)
NOT Allowed:
Textbooks or course materials beyond your personal notes
Electronic devices (phones, tablets, smartwatches, etc.)
Other people in the room
Browsing other websites (system prevents this)
Communication with anyone during the exam
How Exams Work:
24-hour window: Each exam is available for a 24-hour period to accommodate different schedules
Fixed time limit: Once you begin, you have a set time (80 min for midterm, 140 min for final)
One attempt only: You cannot pause, exit, or restart the exam
Identity verification: Show your ID to the webcam at the start
Continuous monitoring: Your webcam and screen record throughout
Automatic submission: Exam auto-submits when time expires
Technical Requirements:
Download and install Respondus LockDown Browser before exam day
Run the built-in system check to verify your setup
Close all other programs before launching the exam
Ensure your computer is plugged in (don’t rely on battery)
Unplug additional monitors.
Clear browser cache if you experience technical issues
Practice Run - DO THIS BEFORE THE MIDTERM:
Brightspace will have a practice quiz using LockDown Browser available before the first exam. Complete this practice session to:
Test your webcam and microphone
Verify your internet connection is sufficient
Practice the identity verification process
Familiarize yourself with the exam interface
Identify any technical issues before exam day
Critical Exam Preparation Timeline
At least 3 days before Midterm (by December 28):
Download and install Respondus LockDown Browser
Complete the practice quiz to test your full setup
Verify your webcam shows both face and desk area
Ensure you have a government ID available
Prepare your testing environment (clear desk, good lighting, quiet room)
If you encounter any issues, contact instructor immediately
Remember: The midterm is on December 31. Technical support may be limited. Do not wait until exam day to discover equipment problems.
What Happens if I Have Technical Issues?
Before the exam: Email the instructor immediately if you discover equipment or software problems
During the exam: If you experience a technical failure, document it immediately and contact the instructor as soon as possible
No makeup exams: Technical issues on your end do not guarantee a makeup opportunity in this compressed format
Academic Integrity:
The webcam monitoring system flags suspicious behaviors including:
Looking away from the screen frequently
Talking or moving your lips (suggesting communication)
Leaving the camera view
Multiple people detected in the room
Use of unauthorized materials
Unusual background noise
All recordings are reviewed. Academic misconduct will result in serious consequences including failing the course and referral to the Office of Student Rights and Responsibilities.
Learning Resources & Technology
Digital Textbook (FREE) |
Complete course materials, videos, data sets, slides, searchable formulas, and R code at STAT 350 Website |
Video Learning Platform |
84 indexed lectures (~29 hours) with micro-segments, interactive timeline, and search functionality |
Brightspace |
Quizzes, announcements, peer discussions, grades |
Edfinity ($36) |
All homework and computer assignments with automated feedback |
R/RStudio |
Required for computer assignments. Local Install Guide or Scholar Access |
Respondus LockDown Browser |
Required for proctored exams with webcam monitoring. Download from Brightspace link. |
Assessment & Grading
Category |
Weight |
---|---|
Daily Quizzes (lowest 2 dropped) |
10% |
Homework & Computer Assignments (lowest of each dropped) |
34% |
Midterm Exam (Day 6) |
24% |
Final Exam (Day 11) |
32% |
Course Evaluation (Bonus) |
+1% |
Letter Grade Cutoffs (approximate):
A-/A/A+: ≥ 90%
B-/B/B+: 80-89%
C-/C/C+: 70-79%
D-/D/D+: 60-69%
F: < 60%
No Make-Up Policy
Due to the condensed nature of the winter session, there are no makeup opportunities for quizzes or exams. Equipment failures, technical issues, or poor planning do not constitute grounds for makeup exams.
Communication & Support
Instructor: Dr. Timothy Reese | reese18@purdue.edu | MATH 210
Email: Use subject line “STAT 350: <topic>”. Expect 24-48 hour response time, potentially longer on weekends/holidays
Peer Discussion Board: “Q&A for Peers” on Brightspace—your quickest help resource. Instructor will not monitor regularly.
Peer Support is Essential
In this accelerated format, your classmates are critical to your success. Build connections early, participate actively in discussions, and help each other. Students who engage with peers perform significantly better.
Getting Started Checklist
✔ |
Action Item |
---|---|
☐ |
Review the syllabus and mark all exam dates and daily deadlines |
☐ |
Explore the Winter Session Schedule |
☐ |
Set up R/RStudio using either local install or Scholar access |
☐ |
Download and install Respondus LockDown Browser |
☐ |
Complete the practice quiz to test your exam setup |
☐ |
Watch the Respondus Setup Video |
☐ |
Verify you have proper webcam and environment that shows face, hands, AND desk area |
☐ |
Prepare your testing environment (clear desk, good lighting, quiet private room) |
☐ |
Bookmark course sites: Brightspace, Edfinity, Course Website, Video Learning Platform |
☐ |
Complete Course Navigation/Syllabus Hunt to unlock course content |
☐ |
Introduce yourself on the “Get to Know Your Peers” discussion board |
☐ |
Begin Day 1 materials as soon as available |
AI Usage Policy
AI tools (ChatGPT, Claude, etc.) may be used according to these guidelines:
Permitted:
Checking reasoning or getting hints after attempting problems yourself
Understanding concepts after reading textbook/watching lectures
R coding assistance (debugging, syntax) after attempting code yourself
Prohibited:
Generating complete solutions to homework or assignments
Submitting AI-generated content as your own
Using AI during exams (this is academic misconduct)
Critical Warning
You must be able to explain any work you submit. Homework is practice for exams where AI is unavailable. Over-reliance on AI will result in poor exam performance and potential academic misconduct charges.
Get comfortable, stay focused, and let’s make these 11 days count!
Boiler Up!
Chapters
- 1. Introduction to Statistics
- 2. Graphical Summaries
- 3. Numerical Summaries
- 3.1. Introduction to Numerical Summaries: Notation and Terminology
- 3.2. Measures of Central Tendency
- 3.3. Measures of Variability - Range, Variance, and Standard Deviation
- 3.4. Measures of Variability - Interquartile Range and Five-Number Summary
- 3.5. Choosing the Right Measure & Comparing Measures Across Data Sets
- 4. Probability
- 5. Discrete Distributions
- 5.1. Discrete Random Variables and Probability Mass Distributions
- 5.2. Joint Probability Mass Functions
- 5.3. Expected Value of a Discrete Random Variable
- 5.4. Varianace of a Discrete Random Variable
- 5.5. Covariance of Dependent Random Variables
- 5.6. The Binomial Distribution
- 5.7. The Poisson Distribution
- 6. Continuous Distributions
- 7. Sampling Distributions
- 8. Experimental Design
- 9. Confidence Intervals and Bounds
- 10. Hypothesis Testing
- 11. Two Sample Procedures
- 11.1. Confidence Interval/Bound and Hypothesis Test for Two Samples
- 11.2. Comparing the Means of Two Independent Populations - Population Variances Are Known
- 11.3. Comparing the Means of Two Independent Populations - Pooled Variance Estimator
- 11.4. Comparing the Means of Two Independent Populations - No Equal Variance Assumption
- 11.5. Analyzing the Mean of Paired Differences Between two Dependent Populations
- 12. ANOVA
- 13. Simple Linear Regression