Measuring Confidence
Measuring confidence in your LTV reports
Last updated
Measuring confidence in your LTV reports
Last updated
When you set a baseline in your report, AdLibertas will calculate the statistical significance (p-value) of your comparison audiences. The confidence (1 – p) percentage returned is the likelihood a random sample will show as, or greater difference than the mean.
When creating a with more than one , you’ll be able to select a baseline. That baseline is used as the calculation for your comparison. All other audiences or variants will be compared to the baseline.
How confidence is calculated.
is determined by calculating the of a . is calculated as (1—p-value).
Confidence returns the likelihood a randomly selected sample of users, one user from A and one from B, will have an outcome as, or greater, than the displayed mean.
Also – like mean values– a small number of users will distort your confidence levels, so be sure to keep in mind the number of users at the end of the experiment.
Most scientists and statisticians often strive for in experiments but you’ll find a range that works for your purposes. An AB test with <50% confidence isn’t necessarily a failure, it is just less than half of the users in the experiment will fall closer together than the mean value.
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