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This repository contains my Inferential Statistics project completed during my university course. It includes the dataset, R code, and detailed analysis showcasing the comparison of climbing route grades for men and women. The project highlights my skills in data visualization, statistical analysis, and hypothesis testing.
A Set of Functions to Make Social Science Analysis Easier. These include a simple count with frequencies and weights. A way to calculate a mean with confidence intervals. A way to recode variables and keep their order, as well as a function to combine multiple dataframes with the same naming convention.
Explore consumer preferences & valuations for TV products with Conjoint & Bootstrapped Willingness-To-Pay analysis. Compare and analyze own design against competition for an edge! Enhance your product strategy!
During my time at my internship, I had the opportunity to learn about Profile Likelihood-at alternative approach to Wald's Confidence Intervals. On this report, I demonstrate what I was able to learn along with code and plots to illustrate concepts.
This aim of this project is to analyze globular star clusters in the Milky Way, in order to understand their dynamics. The conducted study examined the properties that affect the central velocity dispersion, their impact and the correlations between them.
Predicting the Likelihood of Diabetes Using Common Signs and Symptoms - About one-third of patients with diabetes do not know that they have diabetes according to the findings published by many diabetes institutes around the world. Detecting and treating diabetes patients at early stages is critical in order to keep them healthy and to ensure th…