Probability: Determining the distribution and range of a random variable

In summary, the random variable X has a parameter p>0 and a distribution of fX(x) = pxe-px for x≥0. The random variable D, defined as D=e4X, has a cumulative distribution function of P(D≤d)=P(X≤(1/4)ln(d)) and a density function of fD(d)= (1/4d)pe-(1/4d) for d≥0.
  • #1
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Homework Statement



The RV X has parameter p>0 and distribution:

fX(x) = pxe-px for x [tex]\geq[/tex] 0 and is 0 otherwise

(The subscript X is a capital letter, as is the X mentioned below in the e4X)

If we are to consider the RV D= e4X, determine the range and distribution fD(d)


Homework Equations





The Attempt at a Solution



I found this question as an exercise in a textbook, but do not know how to answer it!
Does anyone have any suggestions that I can try out please?
 
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  • #2
Start by figuring out what p must be for fX to be a density function.

If D = e4X, one way to get at its density function is to use the cumulative distribution:

P(D ≤ d) = P(e4X ≤ d) = P(4X ≤ ln(d)) = P( X ≤ (1/4)ln(d) )

Presumably you can calculate that, which will give you the cumulative distribution function for D. Differentiate to get fD(d).
 

1. What is a random variable?

A random variable is a numerical quantity that takes on different values based on the outcome of a random event or experiment. It is represented by a letter, such as X, and can have a specific probability distribution.

2. How is the distribution of a random variable determined?

The distribution of a random variable is determined by the probabilities associated with each possible value that the variable can take on. This can be represented graphically using a probability distribution function or a histogram.

3. What is the range of a random variable?

The range of a random variable is the set of all possible values that the variable can take on. It can be finite or infinite, depending on the nature of the variable and the experiment being conducted.

4. How is probability used to determine the distribution of a random variable?

Probability is used to determine the distribution of a random variable by assigning a probability to each possible outcome of the variable. This allows for the calculation of the expected value and other important measures of the variable's behavior.

5. What are some real-world applications of determining the distribution and range of a random variable?

The determination of the distribution and range of a random variable has many real-world applications, including risk assessment in finance, weather forecasting, and quality control in manufacturing processes. It is also used in social sciences to study human behavior and in medicine to predict the likelihood of certain health outcomes.

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