Probability Mass Function of { Z | Z < 1 }, Z given Z is less than 1

In summary, the probability mass function of {Z | Z < 1}, "Z given Z is less than 1" is equal to 0 for z greater than or equal to 1, and the probability density function is equal to g(z) divided by the integral of g(z) from negative infinity to 1 for z less than or equal to 1.
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Probability Mass Function of { Z | Z < 1 }, "Z given Z is less than 1"

Homework Statement



Given Z = X + Y.

Find the probability density function of Z|Z < 1.


Homework Equations



N.A.

The Attempt at a Solution



f(z) = P(Z=z|Z<1) = P(Z=z AND Z < 1) / P(Z < 1).

I thought the top could be simplified to P(Z=z) for z < 1. Correct?

So,

f(z) = 0, for z > or = 1
f(z) = P(Z=z)/P(Z<1), for z < 1.

Correct?
 
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  • #2


What you have is essentially correct, although it seems bad form to use probabilities in the statement of a probability density function.

I think better is to write: Let g(z) be the PDF of Z = X + Y. If this is still the problem with Z = X + Y where X and Y are uniform on [0,1] that you've been working on in different ways, then you have this. But even if it's not you can just write it in terms of g(z).

So then:

[tex] f(z)=\left\{\begin{array}{cc}0,&\mbox{ if }
z > 1\\ \frac{g(z)}{\int_{-\infty}^1 g(z) dz}, & \mbox{ if } z \leq 1\end{array}\right [/tex]
 
Last edited:
  • #3


hgfalling, thank you so much for all the probability help!
 

1. What is a probability mass function?

A probability mass function is a mathematical function that assigns a probability to each possible value of a discrete random variable. It is often denoted as P(X=x) or f(x), where X is the random variable and x is the possible value. In other words, it maps the outcomes of a random experiment to their corresponding probabilities.

2. What does the notation "Z | Z < 1" mean?

The notation "Z | Z < 1" means the probability of event Z occurring given that Z is less than 1. In other words, it specifies a condition or restriction on the random variable Z.

3. What is the significance of specifying Z < 1 in the probability mass function?

Specifying Z < 1 in the probability mass function limits the possible values of Z to only those that are less than 1. This helps to narrow down the range of outcomes and make the calculation of probabilities more precise.

4. How is the probability mass function of { Z | Z < 1 } calculated?

The probability mass function of { Z | Z < 1 } is calculated by first determining all possible values of Z that are less than 1. Then, for each value, the probability is calculated using the formula P(Z=z) = f(z)/Σf(z), where f(z) is the frequency of Z occurring and Σf(z) is the sum of all frequencies.

5. What is the purpose of using a probability mass function in scientific research?

Probability mass functions are used in scientific research to model and analyze the probabilities of discrete random variables. They provide a way to quantify uncertainty and make predictions about the likelihood of different outcomes. They are commonly used in fields such as statistics, mathematics, and physics.

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