Have you ever run a test and were sure that that you would get good results for your company. Turns out the result you got wasn’t what you expected! Your test failed and you were baffled. This might be because the statistical power of your test wasn’t high enough and you failed to observe a false null hypothesis. This article will learn you how to increase power in statistics.
To be able to increase your power you will need a good understanding of the term. This article begins by describing what power is in statistics. Furthermore, it will describe how to increase power in statistics and how power is calculated. It will also describe why it’s important to have high power in statistics and what statistical power rate is an industry-average for conversion rate experts and researchers.