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Let P Be the Success Probability of a Bernoulli Random p^\hat { p }

question 26

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Let p be the success probability of a Bernoulli random variable Y, i.e., p = Pr(Y = 1). It can be shown that p^\hat { p } , the fraction of successes in a sample, is asymptotically distributed N(p, p(1p)n\frac { p ( 1 - p ) } { n } Using the estimator of the variance of p^\hat { p } , p^(1p^)n\frac { \hat { p } ( 1 - \hat { p } ) } { n } , construct a 95% confidence interval for p. Show that the margin for sampling error simplifies to 1/ n\sqrt { n } if you used 2 instead of 1.96 assuming, conservatively, that the standard error is at its maximum. Construct a table indicating the sample size needed to generate a margin of sampling error of 1%, 2%, 5% and 10%. What do you notice about the increase in sample size needed to halve the margin of error? (The margin of sampling error is 1.96×SE( p^\hat { p } ))


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A period in the United States during the 1930s when President Franklin D. Roosevelt's administration implemented a series of programs and policies aimed at recovering from the Great Depression.

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New Deal Era

A period in American history during the 1930s in which President Franklin D. Roosevelt implemented a series of economic interventions designed to recover from the Great Depression, including job creation programs, financial regulations, and social welfare initiatives.

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