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jeka57 [31]
3 years ago
5

Assume the defect length of corrosion defect in a pressurized steel pipe is normally distributed with mean value 30 mm and stand

ard deviation 7.8 mm.
a. What is the probability that defect length is at most 20 mm? Less than 20 mm?
b. What is the 75th percentile of the defect length distribution?
c. What is the 15th percentile of the defect length distribution?
d. What values separate the middle 80% of the defect length distribution from the smallest 10% and the largest 10%?
Mathematics
1 answer:
RSB [31]3 years ago
5 0

Answer:

a) 0.1003

b) 35.26

c) 21.92

d) Middle 80% smallest 10% and largest 10% = 20.02 and 39.98

Step-by-step explanation:

Given that: mean ц = 30 , standard deviation δ = 7.8

a) P(x ≤ 20)

   = P [ (x - ц ) / δ   ≤  ( 20 -30) / 7.8 ]

   = P(z ≤ -1.28)

   = 0.1003

probability = 0.1003

b) 75th percentile

   P(Z < z) = 0.75

   z = 0.674

Using z-score formula

   x = z * δ + ц

   x = 0.674 * 7.8 + 30

   x = 35.26

c) 15th percentile

   P(Z < z) = 0.15

   z = -1.036

Using z-score formula

   x = z * δ + ц

   x = (-1.036) * 7.8 + 30

   x = 21.92

d) Middle 80%

   P(-z ≤ Z ≤ z) = 0.80

   P(Z ≤ z) - P(Z ≤ -z) = 0.80

   2P(Z ≤ z) - 1 = 0.80

   2P(Z ≤ z) = 1 + 0.80 = 1.80

   P(Z ≤ z) = 1.80 / 2 = 0.90

   P(Z ≤ ± 1.28) = 0.90

   z =  -1.28, + 1.28

   x = z * δ + ц

   x = (-1.28) * 7.8 + 30

   x = 20.02

   x = z * δ + ц

   x = 1.28 * 7.8 + 30

   x = 39.98

Middle 80% two values = 20.02 and 39.98

smallest 10%

P(Z < z) = 0.10

z = -1.28

Using z-score formula

x = z * δ + ц

x = ( -1.28) * 7.8 + 30

x = 20.02

largest 10%

P(Z > z ) = 0.10

1 - P(z < z) = 0.10

P(z < z) = 1 - 0.10 = 0.90

z = 1.28

Using z-score formula

x = z * δ + ц

x = (1.28) * 7.8 + 30

x = 39.98

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The amount of soft drink in a bottle is a Normal random variable. Suppose that in 7% of the bottles containing this soft drink t
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The mean is 15.93 ounces and the standard deviation is 0.29 ounces.

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

7% of the bottles containing this soft drink there are less than 15.5 ounces

This means that when X = 15.5, Z has a pvalue of 0.07. So when X = 15.5, Z = -1.475.

Z = \frac{X - \mu}{\sigma}

-1.475 = \frac{15.5 - \mu}{\sigma}

15.5 - \mu = -1.475\sigma

\mu = 15.5 + 1.475\sigma

10% of them there are more than 16.3 ounces.

This means that when X = 16.3, Z has a pvalue of 1-0.1 = 0.9. So when X = 16.3, Z = 1.28.

Z = \frac{X - \mu}{\sigma}

1.28 = \frac{16.3 - \mu}{\sigma}

16.3 - \mu = 1.28\sigma

\mu = 16.3 – 1.28\sigma

From above

\mu = 15.5 + 1.475\sigma

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15.5 + 1.475\sigma = 16.3 – 1.28\sigma

2.755\sigma = 0.8

\sigma = \frac{0.8}{2.755}

\sigma = 0.29

The mean is

\mu = 15.5 + 1.475\sigma = 15.5 + 1.475*0.29 = 15.93

The mean is 15.93 ounces and the standard deviation is 0.29 ounces.

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