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.

Perform a STEP by STEP multiple mean comparison analysis on R

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.

Statistics project on the analysis of the household dataset.

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.

Implementation of Statistical Inference Concepts for learners.

This project attempted to analyze if race and age had any effects on the frequency of mental health issues in older adults.

Performing multiple regression to predict fuel efficiency (MPG) on an energy-efficient car model

solving problems with data analysis, hypotheses and the most used statistical tests in ecology

Contains some Test of Statistics

Statistics and R: R, linear Regression, Multiple Linear Regression, t-test, Summary Statistics, Study Design, ANOVA test

Simple analysis of anova on a series of player data.

A repository created to explore and understand Statistics through coding.

Programske skripte vezane uz razne zadaće i projekte koje smo imali priliku raditi samostalno u sklopu kolegija na fakultetu. Ove zadaće i projekti rađeni su u programskom jeziku R.

To increase efficiency of a cotton mill. I set up an ANOVA 3 factor analysis model in R to determine best spindle & position that produces the longest roving. The only significant difference in roving length was observed when position was 3 and spindle was 1 or 2. (ANOVA Model in R)

An R project that investigates and visualizes the effect of sex and education on an individual's income level through the use of a full-factorial two-way ANOVA test and relevant post hoc significance tests conducted over a 2014 Pew Research Center dataset consisting of higher education attainment, gender, and income data.

This project is a Pinball designed experiment to determine the effect of different types of ball on the distance in which the ball is thrown. After gathering the data from thrown balls, a hypothesis test was done on the sample mean of each treatment (thrown ball) in a completely randomized design with an alpha around 0.05.

In this project, I wrote R codes to conduct ANOVA test to test for any differences in the mean attendance and among the mean attendance of the three divisions for the 14 baseball teams so that the management team can rearrange 14 teams into different divisions to improve attendance rate.

first business data analysis - factors affecting student satisfaction and bank clients

Hypothesis Testing using R language