SPAN 101 Chapter Notes - Chapter 9-11: Statistical Hypothesis Testing, Alternative Hypothesis, Central Limit Theorem

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22 Jan 2018
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Ch 9 sampling distributions and confience intervals for proportions. Independence assumption: the sampled values must be independent of each other. Sample size assumption: the sample size, n, must be large enough. Randomization condition: if your data comes from an experiment, subjects should have been randomly assigned toe ach of the experimental groups. If you have a survey, it should be a simple random sample of the population. 10% condition: if sampling has not been made with replacement, then the sample size, n, must be no larger than 10% of the population. Success/failure condition: the sample size must be big enough so that both the number of (cid:498)successes(cid:499), np, and the number of failures, nq, are expected to be at least. Null hypothesis h0: specifies a population model parameter and proposes a value for that parameter: h0: p=p0, p: identity of the parameter we hope to learn about, p0: specific hypothesized value for that parameter.

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