There are 1 repository under z-test topic.
Machine learning for beginner(Data Science enthusiast)
This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.
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.
Examples of using the test statistics to test hypotheses
Large sample tests for Means and proportions based on single and two samples using R
This repository contains introductory notebooks for basic hypothesis testing problems.
working to understand the results of an A/B test run by an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product.
Performed rigorous preprocessing, and data cleaning, and conducted exploratory data analysis to identify trends, patterns, and outliers, leading to valuable insights. Employed various statistical methods concepts to get insights about the data for prediction.
Explore the Statistics Interview Preparation Guide! This GitHub repository offers a curated collection of interview questions and answers tailored for Data Scientists. Elevate your statistical knowledge, confidently navigate technical interviews, and prepare for success in the dynamic field of data science with a focus on statistical applications.
The data relates to several user actions or interests recorded on two variants of landing pages for an online news portal. The objective is to analyse these interests by performing statistical analyses to determine if one variant is more effective based on chosen metrics (A/B testing).
Homeworks and R projects for the course Foundations of Data Science
Analysis of Romantic Relationships using Statistical Modeling
Проекты Яндекс.Практикум
This repo contains various Statistics techniques like descriptive_Statistics including Central tendency, CLT, Z_Score and inferential statistics etc..
using hypothesis testing and regression to analyze data about the new feature in the application
Tester for basic statistical tests
Implementation of some r programs using R studio.
Цель исследования: Оценка результатов A/B-теста - Изменение платежной воронки в интернет-магазине
Цель исследования: провести исследовательский анализ поведения пользователей мобильного приложения “Ненужные вещи”.
Performed A/B test and help the company decide whether they should implement the new web page, keep the old page, or run the experiment longer.
Collection of Jupyter Notebooks covering fundamental concepts such as hypothesis testing, statistical power, and various tests for one or two samples, as well as variance. Most functions and test are written from scratch for educational purposes.
A/B Testing: preprocessing, two proportions z-test, computing critical z‐value and z-statistic.
The project explores a range of methods, including both statistical analysis, traditional machine learning and deep learning approaches to anomaly detection a critical aspect of data science and machine learning, with a specific application to the detection of credit card fraud detection and prevention.
Analyse efficacy of your own methods for calculating confidence interval
Calculating A/B test of travel application with proportion z-score
The repository covers some of the key concepts of Inferential Statistics with the help of R.
E-news Express, an online news portal, aims to expand its business by acquiring new subscribers. This python based project performs EDA, data visualization and conducts a no of statistical tests to determine key business insights: in particular whether the new landing page can get greater viewership duration and subscriber conversion
An electronic news aggregator is testing new landing pages in an effort to halt a decline in new subscriber rates. This analysis details the engagement levels and conversion rates of the new pages.
This repository has been created to link my statistical testing assignments and independent studies for Thinkful as I navigate thru the Data Analytics Immersion program from October 2020 - January 2021.
GloBox is an online marketplace that specializes in sourcing unique and high-quality products worldwide. The Growth team decides to run an A/B test highlighting critical products in the food and drink category as a banner at the top of the website.
Aplikasi Shiny untuk mendemonstrasikan kebutuhan akan distribusi t
Continuation to Data Analysis using more mathematical approach.
Analysis of A/B test results by an e-commerce company. Application of hypothesis testing to determining whether the company should implement the new web page it developed to increase users' conversion rate.