Company X has recently introduced a new type of bidding, average bidding, as an alternative to the current type of bidding called maximum bidding. One of our clients, bombabomba.com, decided to test this new feature and wants to do an A/B test to see if average bidding converts more than maximum bidding.
Basic A/B Testing analysis with Python (Shapiro, Levene, T-Test)
Perform Levene's statistical test for equality of group variances.
Statistical analysis comparing metal accumulation levels in three macroinvertebrate groups
Fundamental Concept for Hypothesis Testing, such as Parametric vs Non Parametric Statistical Tests , Various T-tests ,
HHA507 / Data Science / Assignment 6 / ANOVA
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).
This project explores Yulu bike rental data to analyze user demand, seasonal trends, and environmental influences on ride volume. Additionally, hypothesis testing was performed to statistically validate key assumptions regarding rental patterns.
A collection of simple parameter estimation and significance tests for the comparison of multivariate means and variation, covered in Chapters 4 and 5 of the book Multivariate Statistical Methods. A Primer. 5th edition.
A repository created to explore and understand Statistics through coding.
Statistically analyzing the results of an A-B test
Gain hands-on experience with ANOVA analysis, understanding its assumptions, and applying it to real-world datasets to understand differences among group means.
This project explores Yulu bike rental data to analyze user demand, seasonal trends, and environmental influences on ride volume. Additionally, hypothesis testing was performed to statistically validate key assumptions regarding rental patterns.
Identification of ineffective operators for the call centre "CallMeMaybe" by exploratory data analysis (EDA) and statistical hypothesis testing (Levene, T-test). Includes retention metrics, wait times and dashboard in Tableau.
Analyzing Demand Drivers for Yulu's Micro-Mobility: A Hypothesis Testing Study
Gain hands-on experience with ANOVA analysis, understanding its assumptions, and applying it to real-world datasets to understand differences among group means.
This repo provides insights to the key financial factors that influence the Loan Default likelihood. An extensive data cleaning and transformation, followed by exploratory data analysis and statistical hypothesis testing was done
Machine Learning Project to predict customer churning probabilities at the end of a given tenure
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