COMM 291 Lecture Notes - Lecture 13: Woen, Central Limit Theorem, Convenience Sampling
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COMM 291 Full Course Notes
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Commerce 291 lecture notes 2014 jonathan berkowitz. Not to be copied, used, or revised without explicit written permission from the copyright owner. We previously defined (in chapter 3) the terms population, sample, parameter and statistic/estimate. Now we begin our study of statistical inference. Inference means generalization , from the sample to the population. Would the results persist if the study were repeated many times? . A parameter has a value that doesn"t change. A statistic (i. e. estimate) will give a different value each time a new sample is taken this is called sampling variability. The distribution of values that a statistic can take based on all possible samples of the same size from the same population is called the sampling distribution. Unbiased is related to the idea of accuracy. If the scale is set to read 2 kg with no weight on it, the scale is biased. Low variability is related to the idea of precision.
