SOCECOL 13 Lecture Notes - Lecture 16: Central Limit Theorem, Sampling Distribution, Standard Deviation
26 Nov 2016
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Document Summary
Chi-squareds may be like gemstones, but they"re also like potatoes. Just because they"re rare doesn"t mean they are important. <> To know a population is to know a sample; to know a sample is to know a population. The clt allows us to quantify how powerful or how accurate keep an eye on the standard deviation (sigma); allows us to put numbers. Sample answer may or may not match population answer. Summarizing the different answers from possible samples (e. g. , in a graph) produces a sampling distribution. In each new sample taken, the value of sample mean will change. The distribution of possible values of the mean for repeated samples of the same size is called the sampling distribution. If numerous samples or repetitions of the same size are taken, the frequency curve made from proportions from various samples will be approximately bell-shaped. Mean will be true proportion from the population.
