Q.A black and a red dice are rolled.
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Start your 14-day free trial to unlock the full solution →Conditional probability is found by restricting the sample space to the given condition. For (a), the probability is ; for (b), the probability is .
Why Conditional Probability Works This Way
When we say "given that" something has happened, we are no longer looking at all possible outcomes — we only care about the outcomes that satisfy the condition. The formula is:
But in problems with equally likely outcomes (like dice rolls), it's often easier to count: just count the outcomes in the condition, then count how many of those also satisfy the event.
For equally likely outcomes:
Part (a): Sum > 9, given black die shows 5
1. Identify the condition.
The black die shows a 5. So the possible outcomes are:
That's 6 equally likely outcomes.
2. Identify the event.
We want the sum to be greater than 9. With black = 5, the red die must be such that , i.e., red > 4. So red can be 5 or 6.
That gives exactly 2 outcomes: and .
3. Compute the probability.
You don't need the full 36-outcome space here — just the 6 outcomes where black = 5. That's the whole point of conditioning.
Part (b): Sum = 8, given red die shows a number less than 4
1. Identify the condition.
Red die shows a number less than 4, so red can be 1, 2, or 3. For each red value, black can be anything from 1 to 6. So the total outcomes satisfying the condition are:
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