Effect size measures and significance tests

Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of

Chi2 contengency independence test Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5

Q1.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

Anova ftest statistics 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 wheth

R package PCAtest for evaluating the statistical significance of PCA analysis, selecting number of significant PC axes, and testing the contributions of the variables to those PCs.

This package is used to analyse datasets of different HPO-algorithms performing on multiple benchmarks.

Sub-package of spatstat providing functions for exploratory and nonparametric data analysis

[TNNLS 2022] Significance tests of feature relevance for a black-box learner

Research, Analysis, and Final Paper for my Intro to Econometrics class taken in Fall 2023

Enabling easy statistical significance testing for deep neural networks.

The significance test for Granger causality of financial risks in stock indices

A combination of codes developed for the calculation of the cross-correlation confidence intervals, making use of a pair of light-curves. The code conducts a bootstrap random sampling with replacement method to generate artificial light-curves. The code determines the cross-correlation of the artificial light-curves, and uses them for significance.

Robust statistics in Python

In this project I analyze if the salary of employees is dependent on their education or occupation using Advanced Statistical concepts like Hypothesis Testing and Anova

A group project for Florida Tech's MTH5324 (Statistical Modelling) project that analyzes the impact of the Russo-Ukraine war on the economy of several significant geopolitical entities.

Python code for calculating Z-value from probability

In-browser tool for choosing the appropriate statistical test for your hypothesis (SPSS, hypothesis testing, A/B testing, Inferential Statitics) #significance_testing #SPSS #hypothesis_testing