# STAT-UB.0103: Statistics for Business Control and Regression Models

## Course Staff

- Instructor
- Prof. Perry (pperry@stern.nyu.edu)
- Office Hours: Monday, Thursday 11:00AM–12:30PM, KMC 8-63
- Teaching Fellow
- Adarsh Gupta (amg836@stern.nyu.edu)
- Office Hours:
- Tuesday, 11:00AM–12:00PM, Tisch UC-01
- Wednesday, 11:00AM–12:00PM, Tisch UC-11 (note different room)

## Lecture Notes

- Sep 3 - Biased Samples (Solutions)
- Sep 4 - Descriptive Statistics (Solutions)
- Sep 8 - Descriptive Statistics 2 (Solutions)
- Sep 10 - Boxplots (cont.) and Transformations (Solutions)
- Sep 11 - Introduction to Probability (Solutions)
- Sep 15 - Complementary Events / Counting (Solutions)
- Sep 17 - Conditional Probability (Solutions)
- Sep 18 - Independence (Solutions)
- Sep 22 - Bayes' Rule / Discrete Random Variables (Solutions)
- Sep 24 - Expectation and Variance (Solutions)
- Sep 25 - Binomial and Poisson Random Variables
(Solutions;
Video)
- We did not have time to cover Poisson random variables, so this material will not be tested on Midterm 1.
- To watch the video, you may need to go log on to vpn.stern.nyu.edu and click “Start” next to “Network Connect.”

- Sep 29 - Poisson / Empirical Rule Approximations / Hypergeometric (Solutions)
- Oct 6 - Normal Random Variables (Solutions)
- Oct 8 - Sampling Distributions (Solutions)
- Oct 9 - The Central Limit Theorem (Solutions; Video)
- Oct 15 - Introduction to Confidence Intervals (Solutions)
- Oct 16 - Confidence Intervals (Solutions; Video)
- Oct 20 - More Confidence Intervals (Solutions)
- Oct 22 - Intro to Hypothesis Tests (Solutions)
- Oct 23 - Hypothesis Tests 2 (Solutions)
- Oct 27 - Hypothesis Tests 3 (Solutions)
- Oct 29 - Hypothesis Tests 4 (Solutions)
- Oct 30 - Comparing Two Populations (Solutions)
- Nov 3 - Comparing Paired and Unpaired Populations (Solutions)
- Nov 10 - Association, Correlation, and Causation (Solutions)
- Nov 12 - Covariance (Solutions)
- Nov 13 - Introduction to Linear Regression (Solutions)
- Nov 17 - Regression Model Assumptions (Solutions)
- Nov 19 - Regression Inference and Forecasting (Solutions)
- Nov 20 - Outliers, Leverage Points, and Influential Points (Solutions)
- Nov 24 - Multiple Regression, F Tests (Solutions)
- Nov 25 - Review Session (Video)
- Dec 1 - Regression with Qualitative Variables (Solutions)
- Dec 3 - Regression with Qualitative and Quantitative Variables (Solutions)
- Dec 5 - Model Selection (Solutions)
- Dec 8 - Regression with Interactions (Solutions)

## Handouts and Assignments

- Syllabus
- Class Survey
- Minitab Tips
- Homework #1
- Homework #2
- Project Module #1
- Email your group members' names to the TA before 11:59 PM on Friday, Sep 12
- Email your data and scatterplot to the professor before 11:59 PM on Sunday, Sep 21

- Homework #3
- Sample Midterm #1
- The midterm will take place in class on Thursday, Oct 3
- Bring a calculator and one page of notes (front & back)
- Problem 6 requires knowledge of Poisson random variables; this material will not be covered on the actual midterm

- Homework #4
- Normal CDF Table
- Homework #5
- Homework #6
- Critical Values of t
- Homework #7
- Homework #8
- Project Module #2
- Sample Midterm #2
- The midterm will take place in class on Thursday, Nov 6
- Bring a calculator and one page of notes (front & back)

- Homework #9
- Homework #10
- Project Module #3 (Due Dec 11)
- Homework #11
- Sample Final