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Random Variables and Limit State Functions

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Consider the following two collections of data that represent realizations of two random variables X1 and X2:
X1: 18.9 21.1 17.8 20.2 16.0 19.0 20.9
19.1 22.5 18.7 15.:3 17.5 22.1 19.8 20.76
X2: 2:3.9 17.8 20.7 20.6 20.0 21.6 25.0
21.9 21.5 20.6 22.0 20.4 2:3.2 21.5 2:3.0
2:3.:3 21.8 2:3.8 26.6 2:3.0 22.0 2:3.8 22.1
(a) Estimate the mean and stadard deviation of each random variable.
(b) Assuiue that the two random variables are statistically independent and normally distributed.
i. Consider the limit state function L = X1 ? X2. Compute the probability of failure Pf = P[L > 0]. Is your computed answer exact or approximate?
ii. Now define the limit state function as L' = X1/X2 ? 1. Compute the probability of failure P'f = P[L' > 0] (hint: linearize L'). Is your computed answer exact or approximate?

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Random Variables and Limit State Functions are investigated. The solution is detailed and well presented. The response received a rating of "5/5" from the student who originally posted the question.

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  • BSc , Wuhan Univ. China
  • MA, Shandong Univ.
Recent Feedback
  • "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
  • "excellent work"
  • "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
  • "Thank you"
  • "Thank you very much for your valuable time and assistance!"
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