BUS41000

Chicago Booth

View the Project on GitHub tyliang/BUS41000

Business Statistics, Spring 2018

Instructor

Tengyuan Liang

Syllabus

Syllabus

Lecture Notes

Section 1

Section 2

Section 3

Section 4

Section 5

On week 10 (Jun 1st and 2nd), I will talk about data science, where ideas from statistics, machine learning and optimization interact. This material won’t be required for the exam.

Week 10, Bonus

Practice Exam

Practice Midterm, Practice Solution

Spring Midterm Solution

Practice Final, Practice Solution

Homework

Homework 1, Solution 1

Homework 2, Solution 2, Solution Q1 and Q2 in R, Q1 in Excel, Q2 in Excel

Homework 3, Solution 3

Homework 4, Solution 4

Questions about the homework can be posted to Canvas Discussion section. TAs will answer them within 24-48 hrs during weekdays. Homework does not count towards the final grade, but I strongly recommend everyone to do all the homework.

R Scripts (optional)

Week 10, Script

Dummies and Interactions

SLR and MLR

Annual Return

Stock Hedge

Section 1

Section 2

Section 3

Section 4

Section 5

Datasets

Shock Absorber Data

Apple, Intel, Safeway Data

Profits

Zagat

Baseball

Orion Bus

Beauty

Mid City

Salary Data

S&P 500 cleaned

Other Fun Statistics

FiveThirtyEight article

Simpson’s Paradox: video, article

Guessing Correlation: wiki, game

Spurious Correlation

Demonstration of Normal Approximation/CLT

Demonstration of Confidence Interval

Chicago Booth Review Article

AI? Not yet

XKCD, hypothesis testing, can you get the point?

Moneyball

Simple Linear Regression App, play!

Acknowledgement: Thanks to Dr. Carlos Carvalho for sharing many materials.