A few questions on probabilty.

  • Thread starter Thread starter MathematicalPhysicist
  • Start date Start date
Click For Summary
SUMMARY

The discussion revolves around the evaluation of cumulative distribution functions (CDF) for a random variable X in a probability theory assignment. The user correctly identifies that for question 5b, the CDF is zero for t<0 and one for t>=0. For question 5c, the user concludes that the CDF is zero for t<0, t for 0<=t<1/2, and one for t>=1/2. The CDF is defined as F_X(t)=P(X<=t), where P represents the probability measure.

PREREQUISITES
  • Understanding of cumulative distribution functions (CDF)
  • Knowledge of probability measures
  • Familiarity with random variables
  • Basic concepts of probability theory
NEXT STEPS
  • Review the properties of cumulative distribution functions (CDF)
  • Study the implications of probability measures in statistical analysis
  • Explore examples of random variables in probability theory
  • Learn about different types of distributions and their CDFs
USEFUL FOR

Students studying probability theory, educators teaching statistics, and anyone seeking to deepen their understanding of cumulative distribution functions and probability measures.

MathematicalPhysicist
Science Advisor
Gold Member
Messages
4,662
Reaction score
372
quite simple, here's the link, i just need to see if i got this right on question number 5 b and c:
http://www.math.tau.ac.il/~eronshir/Probability%20Theory%202008A/assignment%201.pdf
I got for:
b) the CDF is zero for t<0 and 1 for t>=0, for c) i got that it's: 0 for t<0 and t for 0<=t<1/2 and 1 for t>=1/2.
where the CDF is:
F_X(t)=P(X&lt;=t) where X is a random variable, P is the measure probability.

what do you think?
 
Last edited by a moderator:
Physics news on Phys.org
anyone?
 

Similar threads

Replies
8
Views
1K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 11 ·
Replies
11
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
Replies
6
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
5
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 24 ·
Replies
24
Views
4K
Replies
1
Views
1K