Applied Statistics Graduate Program

Projects done for classes in my master's program at California State University, Long Beach.

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Fall 2019

UFC Fight Prediction

Project for Multivariate Statistical Analysis (CSULB: STAT 550)

Data

• The data are from FightMetric
• Fighter statistics taken as the difference of the first and second fighter analyzed as the difference
• Bout (fight) data for results of fights

Statistical Methodology

• Multivariate Normal Distribution
• Multivariate Analysis of Variance
• Principal Component Analysis
• Linear Discriminant Analysis

Analyzing Student Exam Performance

Project for Experimental Design & Analysis (CSULB: STAT 530)

Data

• The data came from a tutoring center from students struggling in a calculus class
• Factors: average minutes of sleep per night, average minutes spent on social media per day, average time spent commuting to school, average time in minutes spent studying calculus per week
• Response: Exam score out of 50 points

Statistical Methodology

• Design: One-Half Fraction of 2^4 Factorial
• Analysis of Variance
• Tukey's Multiple Comparison Procedures

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Spring 2020

Modeling Periodic Variations in Music Signals

Project for Nonparametric Statistics (CSULB: STAT 560)

Data

• Closer - The Chainsmokers

Statistical Methodology

• Loess Regression
• Thin-Plate Smoothing Spline Regression

Predicting the Overall Energy in a Track

Project for Regression Analysis (CSULB: STAT 510)

Data

• Spotify audio features from Spotify web API

Statistical Methodology

• Linear Regression
• Variable Selection
• Influential Point Detection
• Residual Analysis
• Testing

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Fall 2020

Forecasting Pharmaceutical Drug Sales

Project for Time Series Analysis (CSULB: STAT 580)

Data

• Pharma Drug Sales Volumes from Kaggle

Statistical Methodology

• STL decomposition
• ARIMA/SARIMA modeling
• ADF test
• Residual Analysis
• Moddel evaluation

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