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1. Suppose you want to construct a confidence interval for a population proportion. Which of the following, if it were true, would prevent you from being able to assume that the distribution of the sample proportion is nearly normal? A. n = 104. Out of these 104 there are an equal number of successes and failures (52 each). B. n = 104. Out of these 104 there are only a few successes (15), but relatively many failures (89). C. None of these options. D. n = 104. These observations are a simple random sample and make up less than 10% of the population. 2. When performing a hypothesis test on proportions (either where H0: p = p0 or where H0: p1 = p2) you should use the observed number of successes and failures when checking conditions. A. True B. False C. Depends on the context D. Observed proportion for one sample, expected proportion for two samples.
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