Date 
Reading 
Topic 
Slides 
Video 
Assignment 
Tu 1.10 
Ch 1 
Introduction 
 
V 

Th 1.12 
Ch 2 
Sample Spaces, Events 
S 
V 
Quiz 0 
Fr 1.13 

Data Science Day 


Union Ballroom 
Tu 1.17 
Ch 2 
Basic Probability 
S 
V 
HW 1 out 
Th 1.19 
Ch 3 
Conditional Probability 
S 
V 
Quiz 1 
Tu 1.24 
Ch 3 
Independence 
S 
V 
HW 1 due 
Th 1.26 
Ch 3 
Total Probability 
S 
V 
Quiz 2 
Tu 1.31 
Ch 3 
Bayes Rule 
S 
V 
HW 2 out 
Th 2.02 
Ch 4 
Discrete Random Variables 
S 
V 
Quiz 3 
Tu 2.07 
Ch 4 
Binomial and Geometric Distributions 
S 
V 
HW 2 due 
Th 2.09 
Ch 5 
R for Discrete Distributions (and Rmd) 
 
V 
Quiz 4 
Tu 2.14 
Ch 5 
Continuous Random Variables 
S 
V 
HW 3 out 
Th 2.16 
Ch 5 
Normal Random Variables and R 
S 
V 
Quiz 5 
Tu 2.21 
Ch 7 
Expectation 
S 
V 
HW 3 due 
Th 2.23 
Ch 7 
Variance 
S 
V 
Quiz 6 
Tu 2.28 
Ch 9 
Joint Probability for Discrete RVs 
S 
V 
HW 4 out 
Th 3.02 
Ch 9 
Independence for RVs 
S 
V 
Quiz 7 
Tu 3.07 

SPRING BREAK 



Th 3.09 

SPRING BREAK 



Tu 3.14 
Ch 9 
Joint Probability for Continuous RVs 
S 
V 
HW 4 due 
Th 3.16 
Ch 10 
Covariance and Correlation in R 
S 
V 
Quiz 8 
Tu 3.21 
Ch 1517 
Intro to Statistics + R examples 
S 
V 
HW 5 out 
Th 3.23 
Ch 19 
Estimation and Bias 
S 
V 
Quiz 9 
Tu 3.28 
Ch 23 
Confidence Intervals 
S 
V 
HW 5 due 
Th 3.30 
Ch 23 
Confidence Intervals 
S 
 
Quiz 10 
Tu 4.04 
Ch 23 
Confidence Intervals 
S 
 
HW 6 out 
Th 4.06 
Ch 2526 
Hypothesis Testing 
S 
 
Quiz 11 
Tu 4.11 
Ch 2527 
Hypothesis Testing
(+ R code
+ pic) 
S 
 
HW 6 due 
Th 4.13 
Ch 28 
Covariance Hypothesis Testing
(+ R code) 
S 
 
Quiz 12 
Tu 4.18 
Ch 28 
Permutation Testing 
S 
 
HW 7 out 
Th 4.20 

Review 
S 
 
Quiz 13 
Tu 4.25 
Ch 17.4 + Ch 22 
Linear Regression (+ R code + data) 
S 
 
HW 7 due 
Mo 5.01 
3:30  5:30 
FINAL EXAM (practice exam + solutions) 


