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Let Y Be a Bernoulli Random Variable with Success Probability p^\hat { p }

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Let Y be a Bernoulli random variable with success probability Pr(Y = 1)= p, and let Y1,..., Yn be i.i.d. draws from this distribution. Let p^\hat { p } be the fraction of successes (1s)in this sample. In large samples, the distribution of p^\hat { p } will be approximately normal, i.e., p^\hat { p } is approximately distributed N(p, p(1p)n\frac { p ( 1 - p ) } { n } ). Now let X be the number of successes and n the sample size. In a sample of 10 voters (n=10), if there are six who vote for candidate A, then X = 6. Relate X, the number of success, to p^\hat { p } , the success proportion, or fraction of successes. Next, using your knowledge of linear transformations, derive the distribution of X.


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