POL SCI 3 Lecture Notes - Lecture 26: Seesaw, Operational Definition, Simple Random Sample
Document Summary
He has a problem in the operational definition failed to represent the full range and means of the concept. He just puts down zero systematic measuring error: he made up a score, which is almost certainly wrong. He assumes no one died, which is a massive underestimation: systematic error is a source of validity error, random error is a source of reliability error. Frequency distribution: that 66 means that 66% of the cases had scores less than or equal to 5, 25th percentile is the first value for which you can say that. 25% or less something something: 75th percentile is 6 in 2010, 95th percentile for 2011 is 7, stoker method: Big urn with a thousand balls / policemen. If we have a simple random sample, then each population unit has the same probability of selection. Every single person has a 1/5 chance of being selected. Overall, we expect to have more of them from oakland than in.
