Suppose you have been hired by the Better Business Bureau (BBB) to investigate the settlement ratio of the complaints they have received. You plan to select a sample of n complaints to estimate the proportion of complaints the BBB is able to settle. We use p to denote the percentage or proportion of complaints settled among all the complaints that the BBB has received. Q1) Let Y be the random variable, which indicates whether a complaint is settled. Without loss of generality, let Y be 1 if a complaint is settle, the probability of which is p; 0 if not settled. What probability distribution does Y follow? Compute its mean and standard deviation. Q2) Now suppose you select a random sample of n complaints and find that p ̅ of them have been settled (not surprisingly, p ̅ is called the sample proportion). Assume the sample size n is sufficiently large. What do we know about the probability distribution of p ̅ (sampling distribution of the sample proportion)?

MATLAB: An Introduction with Applications
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Suppose you have been hired by the Better Business Bureau (BBB) to investigate the settlement ratio of the complaints they have received. You plan to select a sample of n complaints to estimate the proportion of complaints the BBB is able to settle. We use p to denote the percentage or proportion of complaints settled among all the complaints that the BBB has received.

Q1)

Let Y be the random variable, which indicates whether a complaint is settled. Without loss of generality, let Y be 1 if a complaint is settle, the probability of which is p; 0 if not settled. What probability distribution does Y follow? Compute its mean and standard deviation.

Q2)

Now suppose you select a random sample of n complaints and find that p ̅ of them have been settled (not surprisingly, p ̅ is called the sample proportion). Assume the sample size n is sufficiently large. What do we know about the probability distribution of p ̅ (sampling distribution of the sample proportion)?

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