Probability Proof for Events A, B, and C: Homework Help and Explanation

In summary, the conversation discusses how to prove two equations involving the probability of events A and B. The first equation states that P(A) is equal to P(B) if and only if P(A U Bc) is equal to P(Ac U B). The second equation involves determining the probability of the complement of event A intersecting with the complement of events B and C, given the probability of A is 0.5 and the probability of A union the complement of the intersection of B and C is 0.8. The solution involves taking the complement of the second equation and substituting probabilities to find the probability of A's complement intersecting with the union of B and C. Event C is not mentioned in the solution for
  • #1
a little lost
4
0

Homework Statement


Let A, B and C be any three events. Show that

i) P(A) = P(B) if and only if P(A U Bc) = P(Ac U B)

ii) Given P(A) = 0.5 and P(A U (Bc ∩ Cc)c = 0.8
determine P(Ac ∩ (B U C))

Homework Equations


the probability axioms?

The Attempt at a Solution



i) not sure where or how to start

ii) P(A U (Bc∩Cc)c) = P(A U B U C) = 0.8

then, P(Ac ∩ (B U C)) = P(B U C) - P(A) = 0.8 - 0.5 = 0.3

I think I'm wrong... though I'm not sure...
 
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  • #2
hi a little lost! :smile:

for (i), try taking the complement of the second equation :wink:

(and (ii) looks fine :smile:)
 
  • #3
@tiny_tim: oops, i just realized i wrote the iff "P(A U Bc) = P(Ac U B)" wrong
it should have been the complement as you said ^^"
-have been staring at this question for the past few days wondering what i should do next...

so, would i then substitute
P(A ∩ Bc)= P(A) - P(A ∩ B)
and likewise for P(Ac ∩ B) ?

if so, how does event C appear in/affect the proof?
 
  • #4
hi a little lost! :smile:
a little lost said:
so, would i then substitute
P(A ∩ Bc)= P(A) - P(A ∩ B)
and likewise for P(Ac ∩ B) ?

yes

A = A ∩ (the whole space) = A ∩ (B U Bc) = (A ∩ B) U (A ∩ Bc) :wink:
if so, how does event C appear in/affect the proof?

i'm confused …

are we talking about question i) or ii) ? :confused:
 
  • #5
tiny-tim said:
are we talking about question i) or ii) ? :confused:

i mean i) i just assumed since it was stated as an event it may have to appear in the proof for part i)
 
  • #6
then no, it's not mentioned in i), so you needn't bother with it until ii) :smile:
 
  • #7
ok thank-you very much for the help :D
 

FAQ: Probability Proof for Events A, B, and C: Homework Help and Explanation

What is probability proof?

Probability proof is a mathematical concept used to determine the likelihood of an event occurring. It involves using mathematical principles to analyze and calculate the chances of an outcome in a given situation.

How is probability proof used in science?

In science, probability proof is used to make predictions and draw conclusions based on data. It helps scientists determine the likelihood of a hypothesis being true and can also be used to analyze the results of experiments and studies.

What is the difference between probability proof and statistical proof?

Probability proof is based on mathematical principles and calculations, while statistical proof involves analyzing and interpreting data to make conclusions. Probability proof focuses on the likelihood of an event occurring, while statistical proof looks at the relationship between variables and their effects on an outcome.

How can I improve my understanding of probability proof?

To improve your understanding of probability proof, it is important to have a strong foundation in mathematics and statistics. You can also practice applying probability principles to real-world scenarios and problems, and seek out additional resources such as textbooks or online tutorials.

Can probability proof be used to predict the future?

Probability proof can be used to make predictions, but it cannot guarantee the outcome of a future event. It is based on the likelihood of an event occurring, but other factors may also influence the outcome. It is important to use probability proof in conjunction with other methods and data analysis techniques to make accurate predictions.

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