MHB So the probability that at least one event occurs is 0.748.

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The discussion revolves around calculating the probability that at least one of two independent events occurs, with given probabilities of 0.1 and 0.3. The initial approach uses the formula P(a ∪ b) = P[a] + P[b] - P[a ∩ b], where P[a ∩ b] is determined by multiplying the probabilities of the independent events. An alternative method is presented, calculating the probability of neither event occurring and subtracting that from 1, leading to a final probability of 0.748 when a third event is included. Participants confirm the correctness of both methods, emphasizing that the second approach may be less intuitive initially. The discussion highlights different strategies for solving probability problems involving independent events.
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Two independent events have probabilities 0.1 and 0.3. What is the probability that at least one of
the events occurs?


I have an answer of .37, when I looked up the solution it is the same value but it was solved another way. I was just wondering if my logic would work.

Find $P(a \cup b) = P[a] + P - P[a \cap b]$
So I have P[a] and P, and I can find $P[a \cap b]$ from independence I can say that;
$P[a \cap b]$ = P[a]*P, correct?

Or is the only way that I can solve it which is easier then my approach,
1-P[neither event]
1-P(1-a)*P(1-b)
But I do not feel that this would be the first way that would pop into my mind.
 
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Re: independent event

Hello, schinb65!

Two independent events have probabilities 0.1 and 0.3.
What is the probability that at least one of the events occurs?


I have an answer of 0.37.
When I looked up the solution, it is the same value,
but it was solved another way.
I was just wondering if my logic would work.

Find $P(a \cup b) = P[a] + P - P[a \cap b]$
So I have $P[a]$ and $P$, and I can find $P[a \cap b]$.
From independence I can say that: $P[a \cap b] = P[a]\!\cdot\!P$
Correct? . Yes!

The other approach is:
$1-P[\text{neither event}] \:=\:1 - P(a')\!\cdot\! P(b')$

But I do not feel that this would be the first way
that would pop into my mind.

If there were more events,
. . I'm sure this method would occur to you.Given: .\begin{Bmatrix}P[a] = 0.1 \\ P<b> = 0.3 \\ P[c] = 0.6 \end{Bmatrix}</b>

Find the probability that at least one event occurs.P[a\cup b \cup c] \:=\:1 - P[\sim\!a]\!\cdot\!P[\sim\!b]\!\cdot\!P[\sim\!c]

. . . . . . . . . =\:1 - (0.9)(0.7)(0.4)

. . . . . . . . . =\:1 - 0.252

. . . . . . . . . =\:0.748
 

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