Statistics PDF and change of variable

In summary, the conversation discusses finding the probability density function of Y1, which is a function of X. The first step is to find the cumulative distribution function of Y, which can be calculated by using the density function of X and solving for various values of y. Then, using the fact that the density function is the derivative of the distribution function, the density function of Y can be determined. Finally, the concept of functions of a random variable is mentioned as a generalization of this problem.
  • #1
Larrytsai
228
0
If the probability density of X is given by

f(x) =

{2(1 − x) for 0 ≤ x ≤ 1
{0 otherwise


(a) Find the probability density function of Y1 = 2X − 1.

I do not know how to start this problem can someone please help.
Is there a formula that I am missing from my notes to solve this problem?
 
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  • #2
Start by finding the cumulative distribution function of Y:

P(Y ≤ y) = P(2X-1 ≤ y) = P(X ≤ ?)

Figure that out for various y and use the fact that the density function is the derivative of the distribution function.
 
  • #3
To add to what LC said:

If you know the distribution/density of a variable X, what can you say about

the density/distribution of f(X)?
 
  • #4
LCKurtz:

so P(X≤ (Y+1/2))

Bacle:

that means we can say f(X) gives us the probability of X?
 
  • #5
LCKurtz said:
Start by finding the cumulative distribution function of Y:

P(Y ≤ y) = P(2X-1 ≤ y) = P(X ≤ ?)

Figure that out for various y and use the fact that the density function is the derivative of the distribution function.

Larrytsai said:
LCKurtz:

so P(X≤ (Y+1/2))

That isn't correct as you have written it. You need proper parentheses and, to be pedantic about it, a lower case y. Then use the density of X to calculate the probability.
 
  • #7
can anyone explain the steps towards the solution? I'm really confused here too,thank you
 

Related to Statistics PDF and change of variable

1. What is a Statistics PDF?

A Statistics PDF (probability density function) is a mathematical function that describes the likelihood of a random variable taking on a certain value or range of values. It is used to represent and analyze data in statistics and probability theory.

2. How is a PDF related to a change of variable?

A change of variable involves transforming a random variable into another form. This transformation can affect the shape and properties of the PDF, making it important to understand how the two are related. In some cases, a change of variable can simplify the analysis of data.

3. What is the purpose of using a change of variable in statistics?

A change of variable is commonly used in statistics to simplify calculations and make data more interpretable. It can also help to transform non-normal data into a more normal distribution, which is often required for certain statistical tests and models.

4. What are some common techniques for changing variables in statistics?

Some common techniques for changing variables in statistics include logarithmic transformations, power transformations, and inverse transformations. These techniques can be used to manipulate the shape of the data and make it more suitable for statistical analysis.

5. How does a change of variable affect the interpretation of statistical results?

A change of variable can affect the interpretation of statistical results by altering the distribution of the data. This can impact the significance of relationships and the accuracy of predictions. It is important to carefully consider the effects of a change of variable when interpreting statistical results.

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