hypothesis testing

single measurement to a population

single measurement to a population

Z: (x-mu)/stdev

P: 2* norm.dist(-abs(Z),0,1,1)

sample to population, given mu and stdev

Z: (xbar-mu)/(stdev/(sqrt n))

P: 2*norm.dist(-abs(Z),0,1,1)

sample to population, given only mu

T: (xbar - mu)/(Sx/(sqrt n))

*Sx: sample stdev*

P: t.dist.2t(abs(T),df)

sample to sample, correlated

P: t.test(sample1,sample2, 2, 1)

sample to sample, uncorrelated

P: t.test(sample1,sample2, 2, 2)

many samples

ANOVA