COMM 291 Chapter Notes - Chapter 9: Confidence Interval, Sampling Distribution, Sample Size Determination
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COMM 291 Full Course Notes
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Comm291 - chapter 9 - sampling distributions and con dence intervals for proportions. A simulation is basically just pretending to test a random sample. A simulation can help understand how sample proportions are due to random sampling. The sample proportion of success = p hat = p . The proportion of successes in each of our simulated samples will vary from one sample to the next, but the way in which the proportions vary shows us how the proportions of real samples would vary. Since p comes from a random sample, we don"t expect them to equal p. The distribution of proportions over many independent samples from the same population is called the sampling distribution of a proportion. When the difference occurs between sample proportions it is sampling error. This is not really an error, just the variability you"d expect to see from one sample to another a better term is sampling variability.
