Fall 2022 - Ani Adhikari and Shahzar Rizvi

Announcements! ( See All )
8/24 - Welcome to Data 88S Fall 2022!

Week 0 Overview

Getting Started

Before August 24

Week 1

Course Introduction and Chapter 1

8/24-8/26

Week 2

Intersections and Conditioning

8/29-9/2

Week 3

Random Variables

9/5-9/9

Week 4

Random Counts, Exponential Approximations, and the (Hyper)geometric Distributions

9/12-9/16

Week 5

Poisson, Expectation, and Additivity

9/19-9/23

Week 6

Unbiased Estimators, Expectation by Conditioning

9/26-9/30

Week 7

Standard Deviation and Variance

10/3-10/7

Week 8

10/10-10/14

Week 9

10/17-10/21

Week 10

10/24-10/29

Week 11

10/31-11/4

Week 12

11/7-11/11

Week 13

11/14-11/18

Week 14

11/21-11/25

Week 15

11/28-12/2

WeekDateContentNotes & Assignments
1 Course introduction; fundamentals, exact calculations, and bounds
Friday discussion problems: Ch. 1 Ex. 1 		Homework 1 (Due 8/30 at 4pm)
2 The rules; intersections and conditioning
Updating chances; independence
Wednesday discussion problems: Ch. 1 Ex. 2; Ch. 2 Ex. 5, 10, 12
Friday discussion problems: Ch. 2 Ex. 4, 11, 7, 6 		Homework 2 (Due 9/6 at 4pm)
3 Random variables
Quiz 1 on Wed 9/7
Random counts: binomial
Friday discussion problems: Ch. 3 Ex. 1, 2, 3cd 		Homework 3 (Due 9/13 at 4pm)
4 Random counts: hypergeometric
Exponential approximations; geometric
Wednesday discussion problems: Ch. 3 Ex. 6, 9, 10; Ch. 4 Ex. 2
Friday discussion problems: Ch. 4 Ex. 4, 5, 6 		Homework 4 (Due 9/20 at 4pm)
5 Law of small numbers: Poisson
Quiz 2 on Wed 9/21
Expectation and additivity
Friday discussion problems: Ch. 5 Ex. 1, 4, 7 		Homework 5 (due 9/27 at 4pm)
6 Unbiased estimators
Expectation by conditioning
Wednesday discussion problems: Ch. 5 Ex. 6cd, 8, 9, 11
Friday discussion problems: Ch. 5 Ex. 13, 14, 15 		Homework 6 (due 10/4 at 4pm)
7 Standard deviation; tail bounds
Variance and additivity: binomial and hypergeometric
Wednesday discussion problems: Ch. 6 Ex. 1, 2, 7, 5
Friday discussion problems: Ch. 7 Ex. 3, misc Quiz Review problems 		Homework 7 (due 10/10 at 5pm (note that this is MONDAY))
8 Midterm on Tue 10/11
Large samples: law of large numbers 		No Homework
9 Central Limit Theorem
CLT and confidence intervals
Wednesday discussion problems: Ch. 8 Ex. 1, 2, 3, 4
Friday discussion problems: Ch. 8 Ex. 4; Ch. 9 Ex. 1, 2, 4 		Homework 8 (due 10/25 at 4pm)
10 Testing hypotheses
Probability density
Wednesday discussion problems: Ch. 9 Ex. 5, 9, 7, 8
Friday discussion problems: Ch. 9 Ex. 11; Ch. 10 Ex. 1ab; Ch. 9 Ex. 10 		Homework 9 (due 11/1 at 4pm)
11 Expectation and variance revisited
The exponential distribution
Wednesday discussion problems: Ch. 10 Ex. 1cde, 2, 10ab
Friday discussion problems: Ch. 10 Ex. 10c, 3, 4 		Homework 10 (due 11/8 at 4pm)
12 The normal distribution
Quiz 3 on Wed 11/9
Estimation: bias and variance 		Homework 11 (due 11/15 at 4pm)
13 Correlation and the regression line, regression effect
Error in regression 		Homework 12 (on Gradescope; due 11/22 at 4pm)
14 No lecture (Thanksgiving week)
15 Inference in regression
Conclusion