usmleuser007
Just rereading this question without the stress, i got it quickly! Could't believe i missed something as simple as this.
+2

snripper
Can't believe I spent 5 minutes on this and still got it wrong lmao.
I was like, "it can't be 90% chance of missing an association, that's way too high." But I picked it nontheless...
+1

Type II error (β) Stating that there is not an effect or difference when one exists (null hypothesis is not rejected when it is in fact false).

β is the probability of making a type II error. β is related to statistical power (1 – β), which is the probability of rejecting the null hypothesis when it is false.

Increase power and Decrease β by: Increased sample size Increased expected effect size Increased precision of measurement

Also called false-negative error. β = you blindly let the guilty man go free.

If you increase sample size, you increase power. There is power in numbers.

submitted by m-ice(340), 2019-06-05T15:49:03Z

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