wilson-score-interval | Wilson score interval implemented in javascript

wilson-score-interval is a JavaScript library. wilson-score-interval has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i wilson-score-interval' or download it from GitHub, npm.

Simple JavaScript implementation of Wilson score interval. Useful wherever you want to make a confident estimate about the actions or preferences of a general population, given a sample of data (e.g. assigning scores for ranking comments by upvotes, products by popularity, and more). If you know what a sample population thinks, you can use this tool to estimate the preferences of the population at large. Suppose your site has a population of 10,000 users. One product has ratings from 100 users (your sample size): 40 upvotes, and 60 downvotes. You want to understand how popular the product would be across the whole population. So you run wilson-score-interval(40, 100), which returns the result { left: 0.3093997461136029, right: 0.4979992153815976 }. Now you can estimate with 95% confidence that between 30.9% and 49.7% of total users would upvote this product. It is common to use the lower bound of this interval (here, 30.9) as the result, as it is the most conservative estimate of the "real" score. For a beginner-friendly introduction to confidence intervals for population proportions, see this YouTube video.