MHB Joint Probability Distributions

AI Thread Summary
The discussion revolves around the confusion regarding the calculation of joint probability distributions. The initial formula used, P_{(\xi1,\xi2)}(x1,x2)=P_{(\xi1)}(x1)P_{(\xi2)}(x2), applies only to independent variables. The user realized that their variables were not independent, which clarified their misunderstanding. This highlights the importance of recognizing variable independence when calculating joint distributions. Understanding these concepts is crucial for accurate probability analysis.
Carla1985
Messages
91
Reaction score
0
I have this question:

View attachment 690and I'm a little confused. To calculate joint distributions in the earlier questions i was using:P_{(\xi1,\xi2)}(x1,x2)=P_{(\xi1)}(x1)P_{(\xi2)}(x2)But that would mean that if:P_{(\xi1,\xi2)}(2,0)=0\ either\ P_{(\xi1)}(2)=0\ or\ P_{(\xi2)}(0)=0which can't be true in either case as P_{(\xi1,\xi2)}(1,0)\ isnt\ 0\ and\ neither\ is\ P_{(\xi1,\xi2)}(2,1)Can someone please explain what I'm missing. Thanks :/
 

Attachments

  • Screen Shot 2013-03-11 at 11.40.06 copy.jpg
    Screen Shot 2013-03-11 at 11.40.06 copy.jpg
    21.1 KB · Views: 70
Physics news on Phys.org
Nevermind, I found my mistake. This was only for independent variables, which these obviously aren't :)
 
I was reading documentation about the soundness and completeness of logic formal systems. Consider the following $$\vdash_S \phi$$ where ##S## is the proof-system making part the formal system and ##\phi## is a wff (well formed formula) of the formal language. Note the blank on left of the turnstile symbol ##\vdash_S##, as far as I can tell it actually represents the empty set. So what does it mean ? I guess it actually means ##\phi## is a theorem of the formal system, i.e. there is a...
Back
Top