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b. What is the probability that the mean price for a sample of 50 H&R Block retail customers is within $8 of the population mean?

User Asad Shah
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Given the question:

The mean tax-return preparation fee H&R Block charged retail customers last year was $183 (The Wall Street Journal, March 7, 2012). Use this price as the population mean and assume the population standard deviation of preparation fees is $50.

Round your answers to four decimal places.

a. What is the probability that the mean price for a sample of 30 H&R Block retail customers is within $8 of the population mean?

b. What is the probability that the mean price for a sample of 50 H&R Block retail customers is within $8 of the population mean?

c. What is the probability that the mean price for a sample of 100 H&R Block retail customers is within $8 of the population mean?



Part A:

The probability that a sample of size, n, of a normally distributed data with a mean of μ, and standard deviation of σ, is within, a, units of the mean is given by


2P(X\ \textless \ a)-1=2P\left(z\ \textless \ (a)/(\sigma/√(n)) \right)-1

Thus, the probability that the mean price for a sample of 30 H&R Block retail customers is within $8 of the population mean is given by:


2P\left(z\ \textless \ (8)/(50/√(30)) \right)-1=2P(z\ \textless \ 0.8764)-1 \\ \\ =2(0.80958)-1=1.61916-1=\bold{0.6192}



Part B:

The probability that the mean price for a sample of 50 H&R Block retail customers is within $8 of the population mean is given by:


2P\left(z\ \textless \ (8)/(50/√(50)) \right)-1=2P(z\ \textless \ 1.131)-1 \\ \\ =2(0.87105)-1=1.7421-1=\bold{0.7421}



Part C:

The probability that the mean price for a sample of 50 H&R Block retail customers is within $8 of the population mean is given by:


2P\left(z\ \textless \ (8)/(50/√(100)) \right)-1=2P(z\ \textless \ 1.6)-1 \\ \\ =2(0.9452)-1=1.8904-1=\bold{0.8904}
User Siva Prasad
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