R code to plot power as a function of alpha

Analyze A/B Test for an E-commerce website

Learn how to use R and statistics in order to analyze vehicle data

R script for LRT to p-value

Cookie Cats is a hugely popular mobile puzzle game, it's a classic "connect three"-style puzzle game. in this notebook we're going to analyze an AB-test where we moved the first gate in Cookie Cats from level 30 to level 40. In particular, we will look at the impact on player retention.

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t

This is a simple app that takes a standard normal statistic and displays the probability of achieving that value or greater in a standard normal distribution. In other words it takes a (z) value and gives a p-value.

Assignments made for the Machine Learning Course held at Ain Shams University [2021-2022]

Used libraries and functions as follows:

Development of the theoretical basis for statistical hypothesis testing with calculation of sample data sets

Performed predictive analysis on Advertising budget data set.

Applying A/B testing in python

Statistical Analysis of Insurance premium data

Estimate (Local) False Discovery Rates with Weights, adapted from fdrtool

different types of regression

Method of Combined P-value to identify Differential Expressed Gene in dataset

Testing the hypothesis of a pharma company for the time of the effect and the quality assurance based on the null and alternate hypothesis

A fun debate between my brother and me resulted in me having to perform hypothesis testing to prove him wrong.

The advertising dataset captures the sales revenue generated with respect ot advertisement costs across multiple channels loike radio, tv and newspapers. In this little project, we use the linear and multiple regression to understand how spending on advertisements impact sales.