Conditional Probability That Number of Tosses Is At Least Six Given Greater Than Three
A fair die is tossed repeatedly until a six is obtained. Let denote the number of tosses required.
The conditional probability that given equals
Options
Topics & Concepts
Step-by-Step Solution
To find the conditional probability , we first identify the probability distribution of the random variable .
Let success be defined as rolling a six on a fair die.
The probability of success on any single toss is:
The probability of failure (not rolling a six) is:
The random variable represents the number of tosses until the first six appears, which follows a geometric distribution:
The probability that more than tosses are required is the probability that the first tosses are all failures:
Since is an integer-valued random variable, we have:
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For , this corresponds to :
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For , this is equivalent to (i.e., the first tosses are failures):
Since the event is a subset of , their intersection is:
Now, applying the definition of conditional probability:
Substituting the values:
Thus, the required conditional probability is , which corresponds to option D.