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The population mean and standard deviation are given below. Find the indicated probability and determine whether a sample mean in the given range below would be considered unusual. If​ convenient, use technology to find the probability. For a sample of nequals36​, find the probability of a sample mean being less than 12 comma 750 or greater than 12 comma 753 when muequals12 comma 750 and sigmaequals1.7.

User Ihtus
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Answer:

The sample mean would not be considered unusual because the probability is greater than or equal to 0.50 of the sample mean being within the range.

Explanation:

We are given the following information in the question:

Mean, μ = 12750

Standard Deviation, σ = 1.7

Sample size, n = 36

Formula:


z_(score) = \displaystyle(x-\mu)/(\sigma)

Standard error due to sampling:


(\sigma)/(√(n)) = (1.7)/(√(36)) = 0.283

P(sample mean being less than 12,750 or greater than 12,753)


1 - P( 12750 < x < 12753) = 1-P(\displaystyle(12750 - 12750)/(0.283) \leq z \leq \displaystyle(12753-12750)/(0.283))\\\\ = 1-(P(0 \leq z \leq 10.06))\\\\= 1-P(z \leq 10.06) +P(z < 0)\\= 1 - 1 + 0.500 = 0.500

Thus, the sample mean would not be considered unusual because the probability is greater than or equal to 0.50 of the sample mean being within the range.

User Dopoto
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