inference for two means Flashcards
sample statistic
xbar1 - xbar2
difference in the two sample means
population parameter
mu1 - mu2
difference in the two population means
sampling distribution is nearly normal when..
independence within each sample (random samples)
independence between each sample (observations in one sample tells us nothing about the observations in the other sample)
normality
hypothesis test
Ho: mu1-mu2 =0
Ha: mu1-mu2=/0, mu1-mu2>0,mu1-mu2<0
test statistic
t-value
tells us the degree of difference between the two sample means from what we would expect if the null hypothesis were true and the difference between the two means was 0
ex. t= 5.6
the difference between the two sample means is 5.6 standard deviations above the expected value