PSY 295 Lecture Notes - Lecture 9: Sampling Distribution, Beforu (Album), Central Limit Theorem
Document Summary
Day 10 notes: probability & sampling distributions part 1. If we flipped a cointhere are 2 assumptions: Hypothesis #2: the coin is not fair. If you tossed it 100 times and it always came as heads, we"d assume hypothesis. Giving 10 aliens a drug (a sample out of a larger population) to increase their height = 10 for the populationbut after the drug the sample m = 11. We originally assume the drug doesn"t work. The probability of randomly selecting a sample with m >= 11 is about 0. 12 (or 12 out of 100) We accept our original hypothesis that our drug doesn"t work. We are not willing to reject the hypothesis. But if we drugged a sample of 10 and got a m = 12 . The probability of randomly selecting a sample with m > = 12 is 0. 01 (or 1 out of 100) We are rejecting the default hypothesis that your drug didn"t work.
