STT 212 Study Guide - Midterm Guide: Simple Random Sample, Statistical Unit, Nonprobability Sampling
20 Feb 2017
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Document Summary
Statistics converting data into useful information by collecting, summarizing, and interpreting data. Types of sampling: non-probability sampling should be avoided because it will not produce a representative sample (volunteer samples, convenience samples, probability sampling the method of selection uses some form of random selection. Simple random sample (srs) a group of n people that is selected in a way that ensures that every different sample has the same chance of being selected. Steps: obtain a list of everyone in the population, assign each one a number, randomly select numbers within that range to obtain the sample. Stratified sample separating population into non-overlapping groups (strata) and then selecting some randomly from each group. The groups should be homogeneous in some way. Requires less people and guarantees representation from each stratum. Cluster sample separate population into random groups (clusters) and then randomly select some clusters. Multi-stage sample a combination of the previous few sampling techniques.
