Testing the power of normality tests for data simulation
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Updated
Sep 28, 2020
Testing the power of normality tests for data simulation
In this demonstration, we make a time series analysis based on a temperature data set.
python module, showcasing computation (as part of a learning process) of some common statistical methods including mininum sample size, confidence interval estimation methods for mean or proportion, hypothesis testing mehods and regression models witth metrics and test suites
Build a statistical model based customer satisfaction dataset from Qualtrics survey
This repository contains different statistical methods for Hypothesis testing.
Medal Projection - Automation for Normality Testing (Shapiro-Wilk) on World Athletics
I practiced hypothesis testing with Python.
💊 AB Testing Between Versions
Statistical Analysis on COVID-19 data to examine the statistical significance across the different regions.
Testing the power of normality tests for a mixture of two normal distributions and the power of Wilcoxon test for a mixture of two Poisson distributions
Research on the reasons for GDP per Capita growth in China
Semester project for the subject of Probability and Statistics, a subject attended at Centro Universitário FEI. It consists of analyzing a database
Parallel evolutionary algorithm that represents images with polygons using edge detection and denoising. Configuration is carried out through normality tests and pairwise comparisons.
A webapplication that provides a way to calculate statistical functions without having to write any code.
Testing the power of normality tests for data simulation and conducting both ANOVA (one-way and two-way) and MANOVA for my own movie dataset
Applied Computational Statistics Final Project - September 16, 2021
Conducting one-factor analysis of variance and its assumptions (normality and homogeneity of variance) with R if two groups of data show statistically different behavior. Visualizing data with boxplots to understand if the given state of the fly (fed/starved) affects the feeding and resting pattern.
Gaussian Navie Bayes Classifier was applied on IRIS dataset. Different types of normality tests were used to introduce the normality concepts.
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