Classical statistical techniques, like the t-test, are the bedrock of the optimization industry, helping companies make data-driven decisions. As online experimentation has exploded, it’s now clear that these traditional statistical methods are not the right fit for digital data: Applying classical statistics to A/B testing can lead to error rates that are much higher than most experimenters expec
![The story behind our Stats Engine](https://cdn-ak-scissors.b.st-hatena.com/image/square/dc619c9e3cadabc7de0c8c8686899afcb1405050/height=288;version=1;width=512/https%3A%2F%2Fwww.optimizely.com%2Fcontentassets%2F1c4d3f9a448a4051bf41b851783d2efd%2Foptimizely-stats-engine.png%3Fwidth%3D1200%26height%3D627%26rmode%3Dmax%26imagemode%3Dopengraph)