SOAN 2120 Lecture Notes - Stratified Sampling, Simple Random Sample, Sampling Frame
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Wednesday feb 27; 50 mins (may be 45 mins) Answer on the paper as well as on the scantron (hand in both, otherwise you. No calculators (but for the final exam we will) Chapters 1-7, everything up to the lecture that occurred just before the break. Big concepts that you would have gotten from reading the chapter overall (no little details) We will begin chapter 3 on friday (therefore this is obviously not on the midterm) Usually gets a class average of 71% for the midterm: simple random sample (srs) Every member of a population has an equal chance of being included in the sample. Only possible to give every member of a population an equal chance of being selected if we can identify every member of the population. Failure to do so is a major source of bias. Two populations: theoretical (defined for selection) and sample (actual population that it represents)