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-Often it is said that the approximation is good when n is large enough. What do you notice about the approximation error as n increases?

-Often it is said that the approximation is good when n is "large enough". What do you notice about the approximation error as n increases?

-However, "large enough" varies in different contexts. What do you notice about the approximation error for larger sample sizes when p is small? Do you think that n = 50 is sufficient to achieve a good approximation if p = 0.01?

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