Statistical Significance

Statistical significance is the probability that an effect is not due to just chance alone. It is an integral part of statistical hypothesis testing where it is used as an important value judgment. In statistics, a result is considered significant not because it is important or meaningful, but because it has been predicted as unlikely to have occurred by chance alone.The present-day concept of statistical significance originated from Ronald Fisher when he developed statistical hypothesis testing in the early 20th century.
Posts about Statistical Significance
  • 5 CRO Mistakes That Need to Be Fixed!

    … an example: If you are using A/B testing and the sample size is not large enough, then it could take a long time before you get your desired statistical significance. And, if you want to stop using A/B testing after a long time of not garnering the sufficient results, then you will be basing some decisions without scientific backing. I won’t deny…

    SEO Hacker Blog- 14 readers -
  • How to Have an Opinion

    … budget and therefore make more money. We’ll keep an eye on the sitelinks after launch to be sure nothing out of the ordinary happens with your specific account. Example: Given that we’ve been running this ad copy test for 6 weeks and still have not reached statistical significance, I think it’s time to turn off the test and try a new version…

    Caitlin Halpert/ 3Q Digitalin Paid Search Google How To's- 13 readers -
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