STAT 2230 Lecture Notes - Lecture 1: Simple Random Sample, Sampling Bias, Statistical Inference
17 Dec 2015
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Document Summary
Population: entire group of individuals about which we want information. Sample: part of the population from which we actually collect information to draw conclusions about the entire population. Not all statistical studies use samples drawn directly from the entire population of interest. Sampling design: describes how to choose a sample from the population. First step: say exactly what population we want to describe. Second step: say exactly what we want to measure (exact definitions of variables) Statistical inference: drawing conclusions about a population from what we see in the sample. Replication: one treatment type done on multiple subjects in a study. Control: keeping other variables constant to investigate the one of interest. Just a group to compare the group of interest to (could be blocking, blinding, comparing, placebo) Probability sampling: sampling where all individuals are given an equal chance to be chosen.
