day 9 slides Flashcards
P-value explains the likelihood that what is true?
the null hypothesis
When do you reject the null hypothesis?
when p-value is less than 0.05
What does Cohen’s D explain?
practical significance instead of just statistical significance
What is Bonferonni correction?
helps you to control for confounding errors; take the p-value and divide by the number of items you are evaluating
type 1 error is a ____?
false positive
type II error is a ____?
false negative
greater power = more ____
confidence
whenever we up the sample size, what happens to power?
increases
if we decrease standard deviation, what happens to power?
increase power
the larger the effect size, the greater the ____
power
Effect size of less than .2 is considered ____
small
Effect size of .2-.5 is considered _____
medium range
Effect size greater than .8 is considered ____
large
What is mortality?
number of deaths, person-centric
what is morbidity?
state of being symptomatic, illness-centric