A fast and lightweight AB-Testing library for React and Next.js based on hooks and functional components. Full Typescript support and result caching is possible.
Mosco is a set of statistical toolkits for A/B test hypothesis testing. Powered by Streamlit, Mosco provides a web-based server-side app interface and is designed for small-to-medium firms to perform A/B test analysis for business decision making.
The executive team conducted a market test with a new menu and needs to figure whether the new menu can drive enough sales to offset the cost of marketing the new menu. The task is to analyze the A/B test and write up a recommendation to whether the Round Roasters chain should launch this new menu.
Here I demonstrate the performance difference between the Poisson and the classic bootstrap by estimating the confidence interval for the difference of CTRs of the two user groups
