Probability - proving independence/dependence

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Homework Help Overview

The discussion revolves around determining the independence or dependence of two events related to defects in films, specifically defect D1 (sensitivity issue) and defect D2 (color issue). Participants analyze given probabilities and seek to understand the relationship between these events.

Discussion Character

  • Conceptual clarification, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to calculate probabilities to prove the dependence of the events. Some participants suggest revisiting definitions of independence and the Addition Rule of probability. Others provide alternative interpretations involving tree diagrams.

Discussion Status

The discussion is ongoing, with various interpretations being explored. Some participants offer guidance on definitions and probability rules, while others challenge the clarity of certain explanations. There is no explicit consensus on the independence of the events.

Contextual Notes

Participants are working within the constraints of a homework assignment, which may limit the information available for discussion. The original poster expresses uncertainty about their calculations and seeks clarification on proving dependence.

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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!
 
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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
 

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