R Package for Bootstrap Unit Root Tests

Strategies for analyzing the distribution of datasets, switching the data towards a normal distribution testing different manual transformations and Box-Cox transformation.

'R6'-Based Flexible Framework for Permutation Tests

Grubbs' test for outliers.

Comprehensive statistical testing analysis with ecommerce data.

Examples of generating random variables from the basic probability distributions

Moving Grubbs' test for outliers.

This is the first exercise in the data science course at Shahid Beheshti University. In this exercise, we will analyze and review data as well as statistical tests.

This is the first exercise in the data science course at Shahid Beheshti University. In this exercise, we will analyze and review data as well as statistical tests.

This is a project about analyzing tuberculosis data from 1990 to 2013 using Tableau.

Randomization Tests for Conditional Group Symmetry

Testing hypothesis and building Confidence Intervals

Aider une entreprise agro-alimentaire de réaliser une étude de marché international pour mieux cibler ses nouveaux pays clientèle.

a spark extensions to help analyze abtest experiments based on raw data

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…

Two-Dimensional Data Whitening and Receiver Operational Characteristic Determination

Statistical analysis on online retail analysis

Matéria de Análise Estatística de Dados da pós-graduação em Ciência de Dados e Machine Learning

Projects made in the Data Scientist course from TripleTen LatAm - Proyectos hechos en el curso de científico de datos de TripleTen LatAm

This project investigates whether there is a statistically significant difference in the average climbing route grades between males and females. Using R, the analysis employs both traditional (t-test) and non-traditional (bootstrap and permutation methods) inferential statistics to test the hypothesis.