MHB How can we find probability space and events

AI Thread Summary
The discussion focuses on finding a probability space and events A, B, and C such that P[C | A] > P[C | A ∪ B]. Participants suggest using genetic modifications as examples for events A and B, with condition C representing the occurrence of a specific condition. They calculate probabilities and intersections, ultimately realizing that adjustments are needed to ensure the inequality holds true. An example is provided with specific probabilities, confirming that the inequality can be satisfied under certain conditions. The conversation concludes with validation of the calculations and agreement on the approach.
mathmari
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Hey! :giggle:

Give a probability space and events $A$, $B$ and $C$ such that $P [C \mid A]>P [C \mid A \cup B]$.So we want that $$\frac{P[C\cap A]}{P[A]}>\frac{P[C\cap (A\cup B)]}{P[A\cup B]}=\frac{P[(C\cap A)\cup (C\cap B)]}{P[A\cup B]}$$ But how can we find these events ? :unsure:
 
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mathmari said:
Give a probability space and events $A$, $B$ and $C$ such that $P [C \mid A]>P [C \mid A \cup B]$.

So we want that $$\frac{P[C\cap A]}{P[A]}>\frac{P[C\cap (A\cup B)]}{P[A\cup B]}=\frac{P[(C\cap A)\cup (C\cap B)]}{P[A\cup B]}$$ But how can we find these events ?

Hey mathmari!

It looks as if we're supposed to find an example where the events could be anything.
For instance $A$ and $B$ could be genetic modifications, and $C$ could be whether a certain condition occurs.
Either way, we would need to assign example probabilities to the events and their intersections such that the given expression holds. 🤔
 
Klaas van Aarsen said:
It looks as if we're supposed to find an example where the events could be anything.
For instance $A$ and $B$ could be genetic modifications, and $C$ could be whether a certain condition occurs.
Either way, we would need to assign example probabilities to the events and their intersections such that the given expression holds. 🤔

So we consider $A$ to be the event that the genetic modification A occurs and $B$ to be the event that the genetic modification B occurs.
Let $P(A)=0.30$, $P(B)=0.40$, $P(A\mid C)=0.25$, $P(B\mid C)=0.35$, $P(C)=0.70$ $P(A\cap B)=0$ and so $P(A\cup B)=P(A)+P(B)=0.30+0.40=0.70$.

Then we have $P(C\cap A)=P(A\mid C)\cdot P(C)=0.25\cdot 0.70=0.175$, $P(C\cap B)=P(B\mid C)\cdot P(C)=0.35\cdot 0.70=0.245$ and $P[(C\cap A)\cup (C\cap B)]=P[C\cap A]+P[C\cap B]=0.175+0.245=0.42$ and so we get at the left side $$\frac{P[C\cap A]}{P[A]}=\frac{0.175}{0.30}\approx 0.583$$ and at the right side $$ \frac{P[C\cap (A\cup B)]}{P[A\cup B]}=\frac{P[(C\cap A)\cup (C\cap B)]}{P[A\cup B]} =\frac{0.42}{0.70} =0.6$$ If all the calculations are correct then the probabilities that I tokk are wrong... :unsure:
 
mathmari said:
So we consider $A$ to be the event that the genetic modification A occurs and $B$ to be the event that the genetic modification B occurs.
Let $P(A)=0.30$, $P(B)=0.40$, $P(A\mid C)=0.25$, $P(B\mid C)=0.35$, $P(C)=0.70$ $P(A\cap B)=0$ and so $P(A\cup B)=P(A)+P(B)=0.30+0.40=0.70$.

Then we have $P(C\cap A)=P(A\mid C)\cdot P(C)=0.25\cdot 0.70=0.175$, $P(C\cap B)=P(B\mid C)\cdot P(C)=0.35\cdot 0.70=0.245$ and $P[(C\cap A)\cup (C\cap B)]=P[C\cap A]+P[C\cap B]=0.175+0.245=0.42$ and so we get at the left side $$\frac{P[C\cap A]}{P[A]}=\frac{0.175}{0.30}\approx 0.583$$ and at the right side $$ \frac{P[C\cap (A\cup B)]}{P[A\cup B]}=\frac{P[(C\cap A)\cup (C\cap B)]}{P[A\cup B]} =\frac{0.42}{0.70} =0.6$$ If all the calculations are correct then the probabilities that I tokk are wrong...
Yep. It's the wrong way around, so we probably need to increase one probability and decrease another to match. 🤔

Btw, if everything would be correct, than the probability of each possible intersection must also be between $0$ and $1$, since otherwise we don't have a valid probability function. 🤔
 
When we consider the example https://mathhelpboards.com/threads/probability-chicken-legs.29067/ with $A=V_1$, $B=V_2$, $C=K$ then we get the following :

$P(V_1)=0.20$, $P(V_2)=0.10$, $P(K)=0.21$
$P(K\mid V_1)=0.80$
$P(K\mid V_1\cup V_2)$
$P(K\mid (V_1\cup V_2))=\frac{P(K\cap (V_1\cup V_2))}{P(V_1\cup V_2)}=\frac{P((K\cap V_1)\cup (K\cap V_2))}{P(V_1\cup V_2)}=\frac{P(K\cap V_1)+P(K\cap V_2)}{0.30}=\frac{0.16+0.04}{0.30}=\frac{0.20}{0.30}\approx 0.67$

So the inequality holds, right? :unsure:
 
mathmari said:
When we consider the example https://mathhelpboards.com/threads/probability-chicken-legs.29067/ with $A=V_1$, $B=V_2$, $C=K$ then we get the following :

$P(V_1)=0.20$, $P(V_2)=0.10$, $P(K)=0.21$
$P(K\mid V_1)=0.80$
$P(K\mid V_1\cup V_2)$
$P(K\mid (V_1\cup V_2))=\frac{P(K\cap (V_1\cup V_2))}{P(V_1\cup V_2)}=\frac{P((K\cap V_1)\cup (K\cap V_2))}{P(V_1\cup V_2)}=\frac{P(K\cap V_1)+P(K\cap V_2)}{0.30}=\frac{0.16+0.04}{0.30}=\frac{0.20}{0.30}\approx 0.67$

So the inequality holds, right?
Yep. Looks good to me. (Nod)
 
Klaas van Aarsen said:
Yep. Looks good to me. (Nod)

Great! Thank you! (Sun)
 
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