Announcements! ( See All )
8/25 - Welcome to STAT 88!
8/25 - Homework 1 is posted and due Friday 09/03 at 11:59 PM!.
9/1 - Homework 2 is posted and due Wed 09/08 at 11:59 PM! - 9/8 - Homework 3 is due Wed 09/15 at 11:59PM, Quiz 1 is Thu 9/9!

Week 1

Getting Started

Week 2

Conditioning

Week 3

Random Variables

Week 4

Random Variables and Expectation

Week 5

The Power of Additivity

Week 6

Path to Prediction

Week 7

Midterm Week

Week 8

Variability

Week 9

Large Random Samples

Week 10

Fundamentals of Inference

Week 11

Continuous Distributions

Week 12

Bias and Variance

Week 13

Instroduction to Regression

Week 14

The Error in a Regression Estimate

Week 15

Inference in Regression

WeekDateContentNotes & Assignments
1 Mon 08/23 No school
Tues 08/24 No school
Wed 08/25 Lecture 1: Introduction and Syllabus, 1.1: Probabilities as Proportions Lecture 1 Notes
Lecture 1 Video
HW 1 (Due 9/3 11:59PM)
Thu 08/26 Discussion
Fri 08/27 Lecture 2: 1.2: Exact Calculation and Bounds 1.3: Fundamental Rules Lecture 2 Notes
Lecture 2 Video
2 Mon 08/30 Lecture 3: 2.1: The Chance of an Intersection
Tues 08/31 Discussion Discussion Worksheet
Wed 09/01 Lecture 4: 2.2: Symmetry in Simple Random Sampling 2.3: Bayes Rule Lecture 4 Notes
Lecture 4 Video
HW 2 (Due 9/8 11:59PM)
Thu 09/02 Discussion Discussion Worksheet
Fri 09/03 Lecture 5: 2.4: Uses and Interpretations 2.5: Independence Lecture 5 Notes
Lecture 5 Video
3 Mon 09/06 No School
Tues 09/07 Discussion Discussion Worksheet
Wed 09/08 Lecture 6: 3.1: Success and Failure 3.2: Random Variables Lecture 6 Notes
Lecture 6 Video
HW 3 (Due 9/15 11:59PM)
Thu 09/09 Discussion
Fri 09/10 Lecture 7: 3.3: Binomial Distribution 3.2: Hypergeometric Distribution Lecture 7 Notes
Lecture 7 Video
4 Mon 09/13 Lecture 8: 3.4 Examples Lecture 8 Notes
Lecture 8 Video
Tues 09/14 Discussion Discussion Worksheet
Wed 09/15 Lecture 9: 4.1 Cumulative Distribution Functions Lecture 9 Notes
Lecture 9 Video
HW 4 (Due 9/29 11:59PM)
Thu 09/16 Discussion Discussion Worksheet
Fri 09/17 Lecture 10: 4.2: Waiting Times – Negative Binomial 4.3: Exponential Approximations Lecture 10 Notes
Lecture 10 Video
5 Mon 09/20 Lecture 11: 4.4: Poisson Distributions Lecture 11 Notes
Lecture 11 Video
Tues 09/21 Discussion
Wed 09/22 Lecture 12: 5.1: Definition 5.2: Functions of Random Variables


Thu 09/23 Discussion Quiz 2 (On Gradescope)
Fri 09/24 Lecture 13: 5.2: Functions of Random Variables cont. 5.3: Methods of Indicators

6 Mon 09/27 Lecture 14: 2.1: 5.3: Methods of Indicators cont. 5.4: Unbiased Estimators

Tues 09/28 Discussion
Wed 09/29 Lecture 15: 5.5: Conditional Expectation 5.6: Expectation by Conditioning


Thu 09/30 Discussion
Fri 10/01 Midterm Review

7 Mon 10/04 Midterm

Tues 10/05 Discussion
Wed 10/06 Lecture 16: 6.1: Variance and Standard Deviation 6.2: Simplifying the Calculation


Thu 10/07 Discussion
Fri 10/08 Lecture 17: 6.3: Markov’s Inequality 6.4: Chebyshev's Inequality

8 Mon 10/11 Lecture 18: 7.1: Sum of Independent Random Variables

Tues 10/12 Discussion
Wed 10/13 Lecture 19: 7.2: Sampling without Replacement 7.3: Law of Averages


Thu 10/14 Discussion
Fri 10/15 Lecture 20: 8.1: Distribution of the Sample Sum (and the Sample Mean)

9 Mon 10/18 Lecture 21: 8.2: Standard Normal Curve

Tues 10/19 Discussion
Wed 10/20 Lecture 22: 8.3: Normal Approximation 8.4: How Large is Large


Thu 10/21 Discussion
Fri 10/22 Lecture 23: 9.1: Testing Hypotheses

10 Mon 10/25 Lecture 24: 9.2: A/B Testing: Fisher's Exact Test

Tues 10/26 Discussion
Wed 10/27 Lecture 25: 9.3: Confidence Intervals: Method


Thu 10/28 Discussion Quiz 3 (On Gradescope)
Fri 10/29 Lecture 26: 9.4: Confidence Intervals: Interpretation

11 Mon 11/01 Lecture 27: 10.1: Density 10.2: Expectation and Variance

Tues 11/02 Discussion
Wed 11/03 Lecture 28: 10.3: Exponential Distribution


Thu 11/04 Discussion
Fri 11/05 Lecture 29: 10.4: Normal Distribution

12 Mon 11/08 Lecture 30: 11.1: Bias and Variance Section 11.2: The German Tank Problem

Tues 11/09 Discussion
Wed 11/10 Lecture 31: 11.3: Least Squares Regression


Thu 11/11 Discussion
Fri 11/12 Lecture 32: 11.4: Bounds on Correlation

13 Mon 11/15 Lecture 33: 11.5: The Error in Regression

Tues 11/16 Discussion
Wed 11/17 Lecture 34: 12.1: The Simple Linear Regression Model


Thu 11/18 Discussion Quiz 4 (On Gradescope)
Fri 11/19 Lecture 35: 12.1: The Simple Linear Regression Model cont.

14 Mon 11/22 Lecture 36: 12.2: The Distribution of the Estimated Slope

Tues 11/23 Discussion
Wed 11/24 No School


Thu 11/25 No School
Fri 11/26 No School

15 Mon 11/29 Lecture 37: 12.3: Towards Multiple Regression

Tues 11/30 Discussion
Wed 12/01 Lecture 38: Final Exam Review


Thu 12/02 Discussion
Fri 12/03 Lecture 39: Final Exam Review