Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of

Chi2 contengency independence test Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5

This repository contains my notes of Calculus and Statistics that I taught in the Department of Mathematics at The University of Texas at Tyler.

Open-source statistical package in Python based on Pandas

Comparing Linear Regression with kNN, Decision Tree and Random Forest with Bayesian Inference to Predict Wine Quality in Python.

Repositorio para el curso intersemestral "Temas Selectos en Estadística" para la Facultad de Psicología, UNAM.

Data Science - Hypothesis Testing Work

This project predicts healthcare costs and identifies contributing factors using data analysis, machine learning, and SQL data management.

Motif Detection for TFBS in Glycolysis and Glyconeogenesis pathways

Performed A/B test and help the company decide whether they should implement the new web page, keep the old page, or run the experiment longer.

Robust statistics in Python

A/B testing projects

Analyzing biological networks using statistical testing to uncover significant differences in protein distributions based on functional relationships.

ANOVA test using python to find out if survey or experiment results are significant and the impact of one or more factors by comparing the means of different samples

Used libraries and functions as follows:

I constructed a simulation study to evaluate the statistical performance of two equivalence-based tests and compared it to the common, but inappropriate, method of concluding no effect by failing to reject the null hypothesis of the traditional test. I further propose two R functions to supply researchers with open-access and easy-to-use tools …

Analyze ab test results udacity project

Lyft Challenge Winner: San Diego Traffic Collision Analysis

Science Track Finalist: A Case Study of Race in Diabetes Healthcare