PO217 Lecture Notes - Lecture 9: Hawthorne Effect, Random Assignment, Cuban Missile Crisis
Document Summary
Every application of inferential statistics involves 3 different distributions: population: empirical unknown, sampling distribution: theoretical; known, sample: empirical; known. Information from the sample is linked to the population via the sampling distribution. Sample sampling distribution population: measures the confidence level. Role of sampling distribution in inferential statistics: links the sample with the population. Confidence level: 95% sure i captured the essence of the truth (the true value/average within the group: 5% chance of error. In estimation procedures, statistics calculated from random samples are used to estimate the value of population parameters. Two variables that are not dependent on one another. If you (cid:449)a(cid:374)t to study ca(cid:374)adia(cid:374) a(cid:374)d a(cid:373)e(cid:396)i(cid:272)a (cid:272)ultu(cid:396)e, you"ll (cid:396)ealize that the t(cid:449)o a(cid:396)e (cid:448)e(cid:396)y similar and are influenced heavily by each other. Interviewing elites is a huge advantage because they have experienced things first hand and have more intel that you may not otherwise be able to access.
