Python library for Design and Analysis of Experiments

This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.

A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.

A statistics package with a variety of bootstrap and other resampling tools

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).

This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.

My Python learning experience 📚🖥📳📴💻🖱✏

In this repository, discover the intricacies of the ANOVA test and its various types, essential for informed decision-making. Dive into practical demonstrations of each ANOVA test using Python, with a focus on visualizing their application on COVID-19 data. Let's embark on a journey to explore and understand statistical analysis in Python!!

This short free book provides a concise introduction to data analysis meant to address common problems faced by graduate students in engineering and science.

DataScience

A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validit…

A statistics package with a variety of bootstrap and other resampling tools. This repository is synced to the same-named repository owned by GNU-Octave. It exists to facilitate publication of the developmental version of the statistics-resampling toolbox at MathWorks FileExchange.

Perform a STEP by STEP multiple mean comparison analysis on R

IU Lessons

Hypothesis Testing in Data Analysis This repository contains a Jupyter Notebook demonstrating various hypothesis testing techniques using Python. It covers statistical tests such as t-tests, ANOVA, chi-square, and non-parametric methods, with real-world examples and visualizations.

Hypothesis for Data Science

This repository analyzes wealth distribution among Brazilian banks, highlighting disparities between national and foreign institutions.

This repository contains all of the statistical Inference-related projects I've worked on. The projects are part of the graduate course at the University of Tehran.