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Sveta_85 [38]
4 years ago
10

Timber beams are widely used in home construction. When the load​ (measured in​ pounds) per unit length has a constant value ove

r part of a​ beam, the load is said to be uniformly distributed over that part of the beam. Consider a cantilever beam with a uniformly distributed load between 90 and 105 pounds per linear foot. a. What is the probability that a beam load exceeds 99 pounds per linear​ foot? b. What is the probability that a beam load is less than 92 pounds per linear​ foot? c. Find a value L such that the probability that the beam load exceeds L is 0.4.
Mathematics
1 answer:
Delicious77 [7]4 years ago
4 0

Answer:

a) 0.4

b) 0.133

c) L \geq 99  

Step-by-step explanation:

We are given the following information in the question:

The load is said to be uniformly distributed over that part of the beam  between 90 and 105 pounds per linear foot.

a = 90 and b = 105

Thus, the probability distribution function is given by

f(x) = \displaystyle\frac{1}{b-a} = \frac{1}{105-90} = \frac{1}{15},\\\\90 \leq x \leq 105

a) P( beam load exceeds 99 pounds per linear​ foot)

P( x > 99)

=\displaystyle\int_{99}^{105} f(x) dx\\\\=\displaystyle\int_{99}^{105} \frac{1}{15} dx\\\\=\frac{1}{15}[x]_{99}^{105} = \frac{1}{15}(105-99) = 0.4

b) P( beam load less than 92 pounds per linear​ foot)

P( x < 92)

=\displaystyle\int_{90}^{92} f(x) dx\\\\=\displaystyle\int_{90}^{92} \frac{1}{15} dx\\\\=\frac{1}{15}[x]_{90}^{92} = \frac{1}{15}(92-90) = 0.133

c) We have to find L such that

\displaystyle\int_{L}^{105} f(x) dx\\\\=\displaystyle\int_{L}^{105} \frac{1}{15} dx\\\\=\frac{1}{15}[x]_{L}^{105} = \frac{1}{15}(105-L) = 0.4\\\\\Rightarrow L = 99

The beam load should be greater than or equal to 99 such that the probability that the beam load exceeds L is 0.4.

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Answer:

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Step-by-step explanation:

Giving the following information:

In 1999, the student enrolment at a college was 13% more than it was in 1998. If the enrolment was 36,612 in 2000, which was 8% more than 1999, find the enrolment in 1998

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