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Irina-Kira [14]
4 years ago
12

The amount of natural gas that flows through a transmission line is measured in pounds of pressure. Assume that the average amou

nt of natural gas in a 16-inch transmission main is supposed to be approximately 625 pounds per square inch. Past studies have suggested that this average varies by a standard deviation of 70 pounds per square inch. What is the probability that the Federal Energy Regulatory Commission (FERC) will randomly test a line and find the pressure to be less than 650 pounds? What is the probability that it is at most 640 pounds per square inch
Mathematics
1 answer:
ahrayia [7]4 years ago
7 0

Answer:

a) P(X

And we can find this probability with the normal standard table or excel:

P(z

b) P(X

And we can find this probability with the normal standard table or excel:

P(z

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Part a

Let X the random variable that represent the amount of gas of a population, and for this case we know the distribution for X is given by:

X \sim N(625,70)  

Where \mu=625 and \sigma=70

We are interested on this probability

P(X

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X

And we can find this probability with the normal standard table or excel:

P(z

Part b

P(X

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X

And we can find this probability with the normal standard table or excel:

P(z

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