Comment on the assumption of bernoulli trials

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1. Let S be the number of heads in 1,000,000 tosses of a fair coin. Use (a) Cheby- shev's inequality, and (b) the Central Limit Theorem, to estimate the prob- ability that S lies between 499,500 and 500,500. Use the same two methods to estimate the probability that S lies between 499,000 and 501,000, and the probability that S lies between 498,500 and 501,500.

2. A rookie is brought to a baseball club on the assumption that he will have a .300 batting average. (Batting average is the ratio of the number of hits to the number of times at bat.) In the first year, he comes to bat 300 times and his batting average is .267. Assume that his at bats can be considered Bernoulli trials with probability .3 for success. Could such a low average be considered just bad luck or should he be sent back to the minor leagues? Comment on the assumption of Bernoulli trials in this situation.

Reference no: EM13970346

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