Suppose the force acting on a column that helps to support a building is a normally distributed random variable X with mean value 15.0 (kips) and standard deviation 1.25 (kips). Calculate the following probabilities: (1) (2 points) P(X ≥ 17.5). (2) (2 points) P(14 ≤ X ≤ 18).

Respuesta :

Answer:

(1) 0.4207

(2) 0.7799

Step-by-step explanation:

Given,

Mean value,

[tex]\mu = 15.0[/tex]

Standard deviation,

[tex]\sigma = 1.25[/tex]

(1) P(X ≥ 17.5) = 1 - P( X ≤ 17.5)

[tex]= 1- P(\frac{x-\mu}{\sigma} \leq \frac{17.5-\mu}{\sigma})[/tex]

[tex]=1-P(z\leq \frac{17.5 - 15}{1.25})[/tex]

[tex]=1-P(z\leq \frac{2.5}{1.25})[/tex]

[tex]=1-P(z\leq 2)[/tex]

[tex]=1- 0.5793[/tex]   ( By using z-score table )

= 0.4207

(2) P(14 ≤ X ≤ 18) = P(X ≤ 18) - P(X ≤ 14)

[tex]=P(z\leq \frac{18 - 15}{1.25}) - P(z\leq \frac{14 - 15}{1.25})[/tex]

[tex]=P(z\leq \frac{3}{1.25}) - P(z\leq -\frac{1}{1.25})[/tex]

[tex]=P(z\leq 2.4) - P(z\leq -0.8)[/tex]

= 0.9918 - 0.2119

= 0.7799

The probabiliity that the force is greater than 17.5 kips is 2.28% while the probabiliity that the force is between 14 and 18 kips is 20.37%

What is z score?

Z score is used to determine by how many standard deviations the raw score is above or below the mean. It is given by:

z = (raw score - mean) / standard deviation

Mean value 15.0 (kips) and standard deviation 1.25 (kips).

1) For 17.5:

z = (17.5 - 15) / 1.25 = 2

P(x > 17.4) = 1 - P(z < 2) = 1 - 0.9772 = 0.0228

2) For 14:

z = (14 - 15)/1.25 = 0.8

For 18:

z = (18 - 15)/1.25 = 2.4

P(14 < x < 18) = P(z < 2.4) - P(z < 0.8) = 0.9918 - 0.7881 = 0.2037

The probabiliity that the force is greater than 17.5 kips is 2.28% while the probabiliity that the force is between 14 and 18 kips is 20.37%

Find out more on z score at: https://brainly.com/question/25638875