5.3.21. Given that II observations will produce a binomial parameter estimator, X , having a
margin of error equal to 0.06, how many observa tions are required for the proportion
to have a margin of error half that size?
5.3.22. Given lhat a political poll shows that 52% of the sample favors candidate A, whereas 48% would vole for candidate B, and given thal the margin of error associated with the survey is 0.05, does it make sense to claim that the two candidates are tied? Explain.
s.3.23. Assume tha t the binomial parameter p is to be estimated with the function X , where
X is the number of successes in n independent trials. Which demands the Larger sample
size: requiring that X have a 96% probabilily of being within 0.05 of p, or requiring that X have a 92% robabilily of being within 0Jl4 of p?
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