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A sample of n = 300 items has been randomly selected. Of these, 55 contain the attribute of interest. based on this information, compute a 90% confidence interval estimate for the proportion of items in the population that have this attribute.

Assume that a decision maker wants to estimate a population proportion with 90% confidence and a margin of error of ±0.03. The decision maker has obtained a pilot sample of 10. This pilot sample's proportion is 0.50. What sample size will be sure to achieve the desired results? How many additional observations must the decision maker obtain?

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