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As you saw in the first question, when sampling a small number of individuals from a large population, the difference in probability between dependent {without
As you saw in the first question, when sampling a small number of individuals from a large population, the difference in probability between dependent {without replacement] and independent {with replacement] is negligible [very small]. Using this concept, let's estimate probabilities of dependent {without replacement] sampling using the formula for independent [with replacement} sampling: P{A and B) = Pm} . 13(3) Consider the chance experiment of randomly selecting 2 people residing in the United States. The proportion of US residents who own a home is about 64.56 '36. Calculate the probability of randomly selecting 1 homeowner and 1 non- homeowner from the population of US residents. Hint: Recall the probability formula for complement events: 1301\") = 1 HA) Decimal Form {round to nearest thousandth}: Pl: 1 homeowner and 1 non- Percent Form {round to nearest tenth]: P{ 1 homeowner and 1 nonhomeowner )2
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