Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
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Updated
May 9, 2024 - HTML
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Repository for the online book "Guide to Effect Sizes and Confidence Intervals"
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.
Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect
A Basic Statistical Analysis of the ToothGrowth Dataset (The Effect of Vitamin C on Tooth Growth in Guinea Pigs)
Statistical Analysis of Air Quality Index Data of India during COVID-19
Applying A/B test to help determing if company should launch the new page
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…
Use the isthissignif python package to test whether or not your OLS regression model is "statistically significant" based on different criteria.
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.
Inferential Statistics Course 2 in Coursera - Duke University.
Explanatory/Exploratory Data Analysis on Telecom-Customer-churn.
Statistical inference assignment as part of the Data Science specialisation by Johns Hopkins University on Coursera
Notas para clase del ITAM de estadistica2 - primavera 2020
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!
In this repository, software applications in simulation and visualization for various applications are presented with interesting examples.
This is the final written report for Statistical Methods course
Repository containing data and code for the ANLY511 (Probabilistic Modeling and Statistical Computing) final project.
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.
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