Mathematics
22.10.2020 10:55
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A normal population has a mean of 62 and a standard deviation of 12. You select

A normal population has a mean of 62 and a standard deviation of 12. You select a random sample of 25. Compute the probability the sample mean is (Round z values to 2 decimal places and final answers to 4 decimal places): (a) Greater than 64.
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nsbegay2007
nsbegay2007
5,0(50 marks)

(a) Probability that the sample mean is Greater than 64 is 0.2033 .

Step-by-step explanation:

We are given that a normal population has a mean of 62 and a standard deviation of 12 and we select a random sample of 25.

Let X bar = sample mean

The z score probability distribution for sample mean is ;

           Z = \frac{Xbar-\mu}{\frac{\sigma}{\sqrt{n} } } ~ N(0,1)

where, \mu = population mean = 62

            \sigma = population standard deviation = 12

            n = random sample = 25

So, probability that the sample mean is Greater than 64 = P(X bar > 64)

     P(X bar > 64) = P( \frac{Xbar-\mu}{\frac{\sigma}{\sqrt{n} } } < \frac{64-62}{\frac{12}{\sqrt{25} } } ) = P(Z > 0.83) = 1 - P(Z <= 0.83)

                                                             = 1 - 0.79673 = 0.2033 .

staceyfrog2002ovw02g
staceyfrog2002ovw02g
4,4(40 marks)
69 because it is a great number

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