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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.
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.
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.
Gain hands-on experience with ANOVA analysis, understanding its assumptions, and applying it to real-world datasets to understand differences among group means.
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
the objective of this project is to analyze whether the change of an Ecommercer's web page was a success or a failure. For this we will use the A/B Test.
An online news portal (E-news Express) wanted to analyze whether their new landing page is effective enough to gather new subscribers or not. Analysis used metrics such as converted status, time spent on landing page, user's preferred language.
Cab riding trips are analyzed to understand more on how trips are affected by weather condition, how certain spots attract more taxi passengers, and how a taxi company stands out in making most trips.