Spring 2016 – Advanced Statistics
BUSAD 360 Advanced Statistics Course page (posts in reverse chronological order)
- Final Exam Schedule
- Exam 3 Results
- Exam 3 Review
- Exam 3
- Lesson 19: Random Sampling from a Normal Distribution
- Lesson 18: Monte Carlo Simulation
- Lesson 17: Multiple Regression in Python
- Lesson 16: Simple Statistical Computing with Python
- Survey Request
- Lesson 15: Big Data Analytics
- Lesson 14: NCAA Men's Basketball Final Four Predictions with Logistic Regression
- Lesson 13: Logistic Regression
- Exam 2 Results
- Marketing Summer Internship
- Exam 2 Review
- Lesson 12: Binary Variables
- Lesson 11: Multicollinearity
- Exam 2
- Lesson 10: Building Multiple Regression Models
- Lesson 9: Regression Output Interpretation
- Lesson 8: Intro to Multiple Regression
- Exam 1 Results
- Exam 1 Review
- Lesson 7: Measuring Forecast Error
- Lesson 6: Time Series Forecasting
- Tutoring
- Exam 1
- Lesson 5: Residual Analysis and R-Squared
- Lesson 4: Simple Regression
- Lesson 3: Correlation
- Lesson 2: Scatter Plots
- Lesson 1: Course Overview and Syllabus
