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ruslelena [56]
3 years ago
11

1. Suppose the failure time of a certain mechanical component is normally distributed with mean value of 10 years and standard d

eviation of 2 years. Suppose a mechanical component of above type is randomly selected. What is the probability that the failure time of the component is (a) between 8 years to 12 years. (b) more than 13 years.
Mathematics
1 answer:
xxMikexx [17]3 years ago
7 0

Answer:

a) P(8

b) P(X>13)=1-0.933=0.0668

Step-by-step explanation:

1) 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".  

2) Part a

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

X \sim N(10,2)  

Where \mu=10 and \sigma=2

We are interested on this probability

P(8

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(8

And we can find this probability on this way:

P(-1

And in order to find these probabilities we can find tables for the normal standard distribution, excel or a calculator.  

P(-1

3) Part b

We are interested on this probability

P(X>13)

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>13)=P(\frac{X-\mu}{\sigma}>\frac{13-\mu}{\sigma})=P(Z>\frac{13-10}{2})=P(Z>1.5)

And we can use the complement rule to find this probability:

P(Z>1.5)=1-P(Z\leq 1.5)

And in order to find these probabilities we can find tables for the normal standard distribution, excel or a calculator.  

P(Z>1.5)=1-P(Z

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