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.

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

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

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

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

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!!

My Python learning experience 📚🖥📳📴💻🖱✏

DataScience

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

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…

Perform a STEP by STEP multiple mean comparison analysis on R

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.

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.

The data relates to several user actions or interests recorded on two variants of landing pages for an online news portal. The objective is to analyse these interests by performing statistical analyses to determine if one variant is more effective based on chosen metrics (A/B testing).

Statistics project on the analysis of the household dataset.

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

A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine whether there is any diff…

Applied MLR with 5-year bike rental data, incorporating model diagnostics, hypothesis testing, ANOVA and step-wise AIC, identified a significant impact of winter rainfall variation.