Multiplication Theorem on Probability and proof

In summary, the conversation discusses a theorem involving conditional probabilities and the importance of simplifying fractions in proofs. The proof is explained using examples.
  • #1
alfred2
10
0
Hi Everyone!

I'm with Conditional Probability and I don't understan this theorem.

Theorem:
If
http://imageshack.us/a/img28/1349/1qg.png
then
http://imageshack.us/a/img209/8829/aor.png
Proof:
All the conditional probabilities are well defined, since
http://imageshack.us/a/img197/8938/4xp.png
We can rewrite the right site of the equality as follows
http://imageshack.us/a/img62/3095/5d9.png
Obviously we can simplify the terms through
http://imageshack.us/a/img855/7523/ikm.png
Can anyone say me how does the simplification work? And why it is so important to be sure that

Thank you =)
 
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  • #2
Welcome to MHB, alfred! :)

The simplification is a consequence of how fractions are multiplied and simplified in general.
Consider for instance:
$$\frac 3 4 \cdot \frac 4 5 \cdot \frac 5 6 = \frac 3 {\cancel 4} \cdot \frac {\cancel 4} {\cancel 5} \cdot \frac {\cancel 5} 6 = \frac 3 6$$
 
  • #3
Thanks! You were right ;)
 

What is the Multiplication Theorem on Probability?

The Multiplication Theorem on Probability is a basic principle in probability theory that states the probability of two or more independent events occurring together is equal to the product of their individual probabilities.

How is the Multiplication Theorem on Probability used in real-life situations?

The Multiplication Theorem on Probability can be used to calculate the likelihood of multiple independent events occurring, such as rolling a certain combination of numbers on a dice or flipping a certain sequence of heads and tails on a coin.

What is the proof behind the Multiplication Theorem on Probability?

The proof of the Multiplication Theorem on Probability involves using the definition of conditional probability and the principle of independence to show that the product of the individual probabilities is equal to the joint probability of the events.

Can the Multiplication Theorem on Probability be applied to dependent events?

No, the Multiplication Theorem on Probability only applies to independent events. If the events are dependent, the theorem does not hold and a different approach must be used to calculate the probability.

Are there any limitations to the Multiplication Theorem on Probability?

One limitation of the Multiplication Theorem on Probability is that it only applies to a finite number of events. It cannot be used to calculate the probability of an infinite number of events occurring together.

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