## 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.