<em>Y</em>₁ and <em>Y</em>₂ are independent, so their joint density is

By definition of conditional probability,
P(<em>Y</em>₁ > <em>Y</em>₂ | <em>Y</em>₁ < 2 <em>Y</em>₂) = P((<em>Y</em>₁ > <em>Y</em>₂) and (<em>Y</em>₁ < 2 <em>Y</em>₂)) / P(<em>Y</em>₁ < 2 <em>Y</em>₂)
Use the joint density to compute the component probabilities:
• numerator:






• denominator:

(I leave the details of the second integral to you)
Then you should end up with
P(<em>Y</em>₁ > <em>Y</em>₂ | <em>Y</em>₁ < 2 <em>Y</em>₂) = (1/6) / (2/3) = 1/4
Answer:
Step-by-step explanation:
3 coins make for 8 possible outcomes {HHH,HHT,HTH,THH,HTT,THT,TTH,TTT}
4 Possible outcomes conatin 2 or more heads.
Probability (At least 2 Heads) = Favourable outcomes/Total possible outcomes
= 4/8 = 1/2 = 0.5 (50%)
Your answer would be either A...or D.
Answer: 3
Explanation:
She has 18 and uses half, 18/2=9
So now she has 9 eggs left, she uses one third, 9/3=3 (3 eggs is one third)
Now she only has six eggs left, she used half of those six to make dinner 6/2=3
She now has 3 eggs remaining.