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An insurance company's monthly claims are modeled by a continuous, positive random variable X, whose probability density function is proportional to (1+x)^-4, for 0

User RobertL
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After evaluating the integral and applying the normalization condition, we find k = 3, making the probability density function f(x) = 3(1+x)^(-4) valid.

To find the constant 'k' that makes the function f(x) = k(1+x)^(-4) a valid probability density function (PDF), we need to satisfy the normalization condition. This condition requires the integral of the PDF over its entire range to be equal to 1:

The integral to solve is:

∫[0 to ∞] k(1+x)^(-4) dx = 1

Breaking down the integral:

∫[0 to ∞] k(1+x)^(-4) dx = k ∫[0 to ∞] (1+x)^(-4) dx

Now, applying the power rule of integration:

= k [(1+x)^(-3)/(-3)] evaluated from 0 to ∞

Evaluating the limits:

= k [0 - 1/(-3)]

Simplifying:

= k (0 + 1/3) = k/3

Setting this equal to 1 (normalization condition):

k/3 = 1

Solving for k:

k = 3

Therefore, the constant 'k' that makes the function f(x) = 3(1+x)^(-4) a valid probability density function is 3.

The question probable may be:

An insurance company's claims are modeled by a continuous, positive, random variable X, whose probability density function is proportional to (1+x) ^−4 , for 0<x<∞. Use this information to answer the following questions. (a) To solve this, we first need to understand the first sentence. Saying the "probability density is proportional" means there is a constant in front. In other words, the probability density function looks like f(x)={ k(1+x) ^−4 , 0<x<∞

0 otherwise

​ Find k to make f(x) a valid probability density function. You will need to solve an improper integral with either your calculator or computer.

User BPDESILVA
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