IMM250H1 Lecture Notes - Lecture 7: Null Hypothesis, Central Limit Theorem, Sampling Distribution
Document Summary
Another application of the hypothesis test procedure is to compare two or more samples with sample data drawn randomly from those populations. There"s two ways to get the two samples. Today we will focus on comparing two samples; next week we will extend the analysis to consider three or more samples. Is the difference between the samples large enough to allow us to conclude (with a known probability of error) that the populationsrepresented by the samples are different. So remember that we can decide if it"s a one tailed or two tailed test (directional or nondirectional) As we follow the 5-step procedure for hypothesis testing, there are several changes that distinguish the two-sample hypothesis test from the one-sample hypothesis test we discussed last week: Step 1: we must assume that samples are drawn independently from one another. This is called independent random sampling they"re random and independent as in they don"t" affect each other.
