Statistics Definitions > Beta Level
You may want to read this article first: What is an Alpha Level?
What is a Beta Level?
A Type I error is the incorrect rejection of a true null hypothesis. A Type II error is where you don’t reject a false null hypothesis.
Beta and Power
Beta is directly related to the power of a test. Power relates to how likely a test is to distinguish an actual effect from one you could expect to happen by chance alone. Beta plus the power of a test is always equal to 1. Usually, researchers will refer to the power of a test (e.g. a power of .8), leaving the beta level (.2 in this case) as implied.
How do I Lower Beta?
In theory, the lower beta, the better. You could simply increase the power of a test to lower the beta level. However, there’s an important trade-off. Alpha and beta levels are connected: you can’t lower one without raising the level of the other. For example, a Bonferroni correction reduces the alpha level (i.e. the probability of making a type II error) but inflates the beta level (the probability of making a type II error). False positives are minimized, but with the payoff that the possibility of false negatives are increased.
Stephanie Glen. "Beta Level: Definition & Examples" From StatisticsHowTo.com: Elementary Statistics for the rest of us! https://www.statisticshowto.com/beta-level/
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