Statistical Sciences 2244A/B Study Guide - Midterm Guide: Stratified Sampling, Sampling Error, Simple Random Sample
15 Feb 2017
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Document Summary
Methods for planning experiments, obtaining data, and then organizing, summarizing, analyzing, interpreting, presenting, and drawing conclusions based on the data. Offers methods of data collection: what we get it from, how we get it, analysis. Census population: take all information in the population u= population mean. A parameter: information from the sample that can be extrapolated to the general population, a characteristic of the population, describes populations. Statistic: information from which we can only generalize to the sample. Selection bias: systematic favouritism in the data selection process, leading to misleading results. Systematic favouritism: if we keep repeating the same sampling process, we keep getting of the mark of the actual mean ~ this introduces selection bias. Sampling strategies: how we choose the individuals from the population to go into our sample. Sampling types: probability: using chance to select our sample vs, non-probability: no chance involved. Some groups will have 0 chance of being selected in the sample.
