MATH 1532 Study Guide - Final Guide: Sampling Distribution, Central Limit Theorem, Sample Space
17 Jan 2017
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Population: the entire group of individuals in which we are interested but: example: all humans, all working-age people in california, all crickets. Sample: the part of the population we actually examine and for which we do have data: how well the sample represents the population depends on the sample design. Bias is a misrepresentation of reality/entire population. Selection bias refers to the selection of individuals, groups or data for analysis such that proper randomization is not achieved; thereby ensuring that the sample obtained is not representative of the population intended to be analyzed. Example: 9/10 dentists approve of toothpaste (90/100 said no + 10/100 said yes = selection bias chooses a favorable outcome of data set) Simple random sample (srs): is made of randomly selected individuals. Each individual in the population has the same probability of being in the sample.
