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Probab (For at least 1)= 1- P(none)

Check,

p=0.2, P(at least 1)= 1- (1-0.8)(1-0.2)=.84 no option
p=0.4, P (at least 1)= 1- (1-0.8)(1-0.4)= .88 no option
p=0.5, P (at least 1)= 1- (1-0.8)(1-0.5)= 0.9 Matched

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John has a 0.8 probability of eating breakfast with bacon and eggs, and Mary has a probability p of doing yoga in the morning.

If these events are independent, select for At least one the probability that at least one of these events occurs, and select for p the probability of Mary doing yoga in the morning that would be jointly consistent with the given information. Make only two selections, one in each column.
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Bunuel
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John has a 0.8 probability of eating breakfast with bacon and eggs, and Mary has a probability p of doing yoga in the morning.

If these events are independent, select for At least one the probability that at least one of these events occurs, and select for p the probability of Mary doing yoga in the morning that would be jointly consistent with the given information. Make only two selections, one in each column.
Probability that At least of the these event occurs = 1- {probability None of the event occurs} = 1 - {0.2*(1-p)} = x (Let's assume)
Putting available answers of P to find the consistent answer with above

If p = 0.2 ---> x= 1- 0.2*0.8= 1-0.16 = 0.84
p=0.4 ----> x = 1- 0.12 = 0.88
p= 0.5 -----> x= 1-0.1 = 0.9 (Answer)
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For atleast 1 questions answer is mostly 1- p(event never occurs)

so P(John eating breakfast) = 0.8 P(John not eating breakfast )=0.2
similarly P(Mary doing yog)=p P(mary not doing yoga)=1-p
Since both events ar eindependent P(John not breakfast and Mary not yoga) =0.2(1-p)
As mentioned in the begining P(atleast 1)=1-0.2(1-p) =>0.8+0.2p=>0.2(4+p)
only option which works is p=0.5 and P(atleast 1)=0.9
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Bunuel
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John has a 0.8 probability of eating breakfast with bacon and eggs, and Mary has a probability p of doing yoga in the morning.

If these events are independent, select for At least one the probability that at least one of these events occurs, and select for p the probability of Mary doing yoga in the morning that would be jointly consistent with the given information. Make only two selections, one in each column.
Both the events are indepent.
Also if we want the prob of atleast 1 then we can say that,
prob(at least one) = 1 - prob(neither)

Therefore, prob(at least one) = 1 - ((1-0.8)(1-p))
= 1 - 0.2*(1-p)
= 0.8 + 0.2p

Now, use options to find out the correct consistent pair.

After putting p = 0.5
We get prob(at least one) = 0.9

Therefore,
at least one = 0.9
and p = 0.5
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Bunuel
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John has a 0.8 probability of eating breakfast with bacon and eggs, and Mary has a probability p of doing yoga in the morning.

If these events are independent, select for At least one the probability that at least one of these events occurs, and select for p the probability of Mary doing yoga in the morning that would be jointly consistent with the given information. Make only two selections, one in each column.

John - Yes - 0.8
John - No - 0.2

MAry - Yes - p
Mary - No - (1 - p)

We need

(John Yes and Mary No) or (John No and Mary Yes) or (John Yes and Mary Yes)
[0.8 (1-p)] + 0.2p + 0.8p
--> 0.8 + 0.2p

Choose p from the options and the corresponding value for the overall probability.

Out of the options, p = 0.2 gives us overall probability = 0.84

Only one other option p = 0.95 gives overall probability = 0.89.

Both appear to be close. I choose 0.2 for p and 0.84 overall probability.
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Probability that John eats breakfast = 0.8, say (A)
Probability that Mary does Yoga = p, say (B)
Probability that one of these occur is P(A U B), i.e. P(A) + P(B) - P(A n B)

This gives, 0.8 + p - 0.2p = 0.8 + 0.2p
As per the options given, only one fits, i.e. 0.8 + 0.2 x (0.50) = 0.90
Hence, at least one of the events occurring is 0.90

As for p, no value has been given and it is an independent event, hence probability of occurring will be 1/2, i.e. 0.50.
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We are given,
P(J) = Probability Jogn eats bacon and eggs = 0.8
P(M) = Probability Mary does yoga = p
Both these events are independent

Now we see that,
=> P(J') = P(John doesent eat) = 1 - 0.8 = 0.2
=> P(M') = P(Mary doesent do yoga) = 1 - p

Given the events are independent, P(neither) = 0.2*(1-p)

Since we know that,
P(atleast one) = 1 - P(neither)
=> P(atleast one) = 1 - 0.2*(1-p) = 0.8 + 0.2p

We want to find out P(atleast one), and from the given options of P(atleast one) and p,
the values which match with the given 0.8 + 0.2p = P(atleast one) is
p = 0.5
P(atleast one) = 0.9
(0.8 + 0.2*0.5 - 0.9)
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John probability 0.8
Mary probability p
Events are independent

P(at least one) = 1- P(neither)
P(at least one ) = 1- 0.2(1-p)

Now, while checking the values for p and At least one that jointly consistent are 0.5 & 0.9
p is 0.5
at least one is 0.9
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Given =>

Probability of having bacon with eggs => 0.8
Probability of doing yoga => p

Probability of at least 1 happening => 1 - probability of none happening --- 1
As these are independent events, probability of both not happening = (1-0.8)*(1-p) => 0.2-0.2p ---2

=> Using 1 & 2

Probability of at least 1 happening => 1-0.2+0.2p => 0.8+0.2p

Only values satisfying => Atleast 1 - 0.9 ; p=>0.5
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Prob(a) of John having bacon and eggs = 0.8
prob(b) of mary doing yoga = p
Prob at least on of them occurs = P(A) + P(B)- P(A)P(B)
0.8 + p - (0.8)p = 0.8 +0.2p
after plugging in values
p=0.5
at least one = 0.9
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