(A)Less than 0.4(B)At least 0.4, but less than 0.5(C)At least 0.5, but less than 0.6(D)At least 0.6, but less than 0.7(E)At least 0.7You are given:(i)The prior distribution of the parameter © has probability density function:#(0) = !1<0<∞(ii)Given O = 0, claim sizes follow a Pareto distribution with parameters a = 2 and 0.A claim of 3 is observed.Calculate the posterior probability that O exceeds 2.(A)0.33(B)0.42(C)0.50(D)0.58

Answered: Image /qna-images/answer/57ad086f-64b6-44af-b509-1db4442c84ce.jpg

Answered: You are given: (i) The prior…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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The orders from n= 100 customers for wooden panels of various thickness (X) are summarized as follows: *refer from the table attached* Determine the probability mass function X and plot f(x).
please help with this
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The daily total cost (y) in dollars for production of (x)items follows the SLR model:Y = 125 + 0.12x + ε with σ = 10a) Find the expected total cost corresponding to200 items produced.b) What is the probability the total cost is lessthan $160 for 200 items produced?
Please answer exercise 2
Let x be a continuous random variable that is normally distributed with a mean of 27 and a standard deviation of 7. (a) Write a cumulative probability statement for the area under the normal curve to find the probability that x assumes a value between 31.7 and 62.0: (b) Write an equivalent standardized probability statement for (a) above using the results obtained in the previous step:
Let X equal the weight of the soap contained in a box. Assume that the distribution of X is N(u = 6.05, o² = 0.0004). (a) Compute the probability P(X < 6.0171) (b) A random sample of nine (9) boxes of soap is selected from the production line. Let Y equal the number of boxes that weigh less than 6.0171. What is the distribution of Y?
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