Quantium virtual internship program hosted by InsideSherpa
This repository contains a collection of functions to evaluate investment strategies regarding multiple testing concerns.
Retrieving, Processing, and Visualizing Data with Python
Hypothesis-Test in python
Hypothesis Testing in Python
COVID-19 mortality rate (Python). Original empirical study submitted for the Applied Predictive Modeling course during my second semester at HKBU - Master of Science in Data Analytics and Business Economics.
This project involved conducting an A/B test to analyze the impact of button color change on user engagement for Tech-Savvy, using statistical analysis and visualization to derive actionable insights.
Use descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology. Give your readers a good intuition for the data and use statistical inference to draw a conclusion based on the results.
A basic comparison of different statistical methods for data understanding and exploration.
Analytics performed on the fisher iris dataset
Applied Statistics used for Machine Learning problems
My notes on statistics
Add a description, image, and links to the t-statistic topic page so that developers can more easily learn about it.
To associate your repository with the t-statistic topic, visit your repo's landing page and select "manage topics."