MAT-1010 Lecture Notes - Lecture 1: Random Number Generation, Stratified Sampling, Bias Of An Estimator
26 Aug 2016
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Stats- the science of collecting, describing, and drawing inferences from data, and then measuring the resulting uncertainty. Population- the entire group of individuals/objects that you want to study. Characteristic- the question we want to answer or quantity we want to establish: ex: the average sat score for the incoming freshman at app state has gone up by 200 points. Sample- collect data from a subset of our population. 1936 election- landan vs. roosevelt: magazine sent out a ballot to people in telephone directories, magazine subscriptions, and club membership rosters, they found landan- 57% vote, roosevelt- 43% Random sampling- occurs when you choose the sample so that any member of the population has the same chance of being in the sample: pick names out of a hat, table of random digits, random number generator. Randomly choosing 10 people from senior class and documenting gender. Stratified sampling- break population into groups, then sample equally from each group.
