Hypothesis Testing Flashcards
null vs alternative hypothesis
null (Ho): NOT different
alt (Ha): different
basic 4 steps of hypothesis testing
state null and alternative hypothesis
establish critical values
calculate t or Z score from sample
compare calculated t or Z with critical values to accept or reject null
type 1/alpha error
reject null hypothesis when it is actually true
type 2/beta error
accept null hypothesis when it is actually false
degrees of freedom
N - 1
how to calculate t-score
t = Xbar - u / s / root(N)
what is p value
probability value, determines whether to accept or reject Ho
if p 0.05 fail to reject Ho
two-tailed t-test
do not presume at which extreme of the normal distribution the difference lies, so test both sides
4 ways to increase power of a statistical test
increase critical region
increase size of difference between sample and hypothesized means
decrease sampling error
increase sample size