Probability - proving independence/dependence

  • Thread starter Thread starter jasper10
  • Start date Start date
  • Tags Tags
    Probability
Join the discussion
Registration is free. Ask a follow-up in this thread, or start your own.
5 replies · 6K views
jasper10
Messages
55
Reaction score
0

Homework Statement



A film is defective either when the level of sensitivity is wrong (defect D1) or when the colours are faulty (defect D2). 2% of all films made have at least one of these two defects. 1% of all films have defect D1 and 0.2% of all films have both defect D1 and D2.

Are the events "to have defect D1" and "to have defect D2" independent?

The Attempt at a Solution



P(D1) = 0.01
P(D1 ∩ D2) = 0.002
P(D1 ∪ D2) = 0.02

If independent, then: P(D1 ∪ D2) = P(D1) + P(D2) = 0.02

hence P(D2) = 0.02 - P(D1) = 0.02 - 0.01 = 0.01

P(D1 ∩ D2) = 0.01 x 0.01 = 0.0001 which is not 0.002

Is this correct? How do I prove that they are DEPENDENT, as all i have done is rejected their independency!

Thank you very much!
 
Physics news on Phys.org
Go back to your textbook and read the definitions of "dependent" and "independent" events!
 
They're independent. It's just a tree with two branches for D1 and two branches each for D2.
 
Again, look at the definition of independence - and, since you used it, look at the correct form for the Addition Rule of probability.
**************************
"They're independent. It's just a tree with two branches for D1 and two branches each for D2."
**************************
Makes no sense here.
 
statdad said:
Again, look at the definition of independence - and, since you used it, look at the correct form for the Addition Rule of probability.
**************************
"They're independent. It's just a tree with two branches for D1 and two branches each for D2."
**************************
Makes no sense here.

Why not?

[PLAIN]http://dl.dropbox.com/u/704818/Tree.png
 
Last edited by a moderator:
Pr(D1 ∪ D2) = P(D1) + P(D2) - P(D1 ∩ D2)
0.02 = 0.01 + P(D2) - 0.0002
P(D2) = 0.0102

P(D1 ∩ D2) = 0.0002 != 0.01 * 0.0102 -> D1 and D2 are dependent.

PD1(D2) = P(D2)/P(D1) = P(D1 ∩ D2)/P(D1) = 0.0002/0.01 = 0.02