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mrsali35
20.11.2020 •
Mathematics
If a random sample of 47 steel bolts is selected, what is the probability that the sample mean would differ from the population mean by more than 0.2 millimeters?
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Ответ:
Complete Question
Thompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 143 millimetres, and a standard deviation of 5. If a random sample of 47 steel bolts is selected, what is the probability that the sample mean would differ from the population mean by more than 0.2 millimetres? Round your answer to four decimal places.
The probability is![P(|\= x - \mu | \ge 0.2 ) = 0.78394](/tpl/images/0917/1753/bed72.png)
Step-by-step explanation:
From the question we are told that
The sample size is n = 47
The mean diameter is![\mu = 143](/tpl/images/0917/1753/44c34.png)
The standard deviation is![\sigma = 5](/tpl/images/0917/1753/080c8.png)
Generally the standard error of the mean is mathematically represented as
=>![\sigma_{x} = \frac{5 }{\sqrt{47} }](/tpl/images/0917/1753/47f29.png)
=>![\sigma_{x} = 0.7293](/tpl/images/0917/1753/6175e.png)
Generally the probability that the sample mean will differ from the population mean by more than 0.2 milli meters is mathematically represented as
=>![P(|\= x - \mu | \ge 0.2 ) = P(|Z| \ge 0.2742 )](/tpl/images/0917/1753/b13db.png)
=>![P(|\= x - \mu | \ge 0.2 ) = P(Z < - 2742) + P(Z 0.2742)](/tpl/images/0917/1753/e3260.png)
From the z table the area under the normal curve to the left corresponding to -2.742 is
From the z table the area under the normal curve to the right corresponding to 2.742 is
P(Z > 0.2742) = 0.39197
So
Ответ:
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Step-by-step explanation: