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by leo_pekelis
4163 days ago
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Hey, If you are interested in learning more about the problems we solved, we lay them out in much more detail in our blog post. It’s a meaty topic and so the post is not short. http://blog.optimizely.com/2015/01/20/statistics-for-the-int... In a few sentences: in the past if you didn’t use a sample size calculator properly (set a sample size up front and only evaluate test results at that time) and had tests with a lot of goals and variations, you could increase that chance of making an incorrect declaration. With Stats Engine, we allow you to monitor your results real-time and test as many hypothesis as you would like and give an accurate representation of the likelihood your test is actually a winning or losing test. We’re definitely not trying to claim to have invalidated traditional statistics. If you used the proper testing procedure in the past, then Stats Engine will simply give you an easier workflow than before (no need to pick an appropriate sample size, minimum detectable effect, limit the number of hypotheses being tests). Many companies have data-scientists, statisticians, or are otherwise well-informed on the topic, however many are not. Stats Engine allows you to have an accurate Statistical Significance measure without requiring you to set a sample size because it accounts for the errors that are introduced by looking at your results as experiment data comes in. |
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