- A
- B
- C
- D
View written solutionFree
Correct answer: THE GIVEN QUESTION SEEMS INCONSISTENT AS WRITTEN. USING THE STATED RELATION, $P(\TEXT{PERFECT SQUARE})=P(1)+P(4)=\FRAC{1}{2}+\FRAC{1}{12}=\FRAC{7}{12}$, SO FOR TWO THROWS $E[X]=2\CDOT\FRAC{7}{12}=\FRAC{7}{6}$., THUS THE STORED ANSWER $\FRAC{8}{11}$ DOES NOT AGREE WITH THE MATHEMATICS OF THE GIVEN STATEMENT.
- Classify the outcomes on a die
A standard die has faces .
- Prime numbers:
- Composite numbers:
- Number : separate category
Perfect squares on the die are:
So if counts the number of times a perfect square appears in 2 throws, then is the number of successes in 2 independent trials, where success = getting or .
- Use the given probability relation
Given:
Let the common value be . Then
Since these three categories exhaust all outcomes,
So, Taking LCM ,
Hence,
- Find probability of a perfect square in one throw
Perfect squares are and .
We already have:
Among composite numbers , assuming outcomes within the category retain their individual face probabilities proportional only through category totals is not needed here if interpreted as category probabilities induced by the biased die over the standard faces. Since composite numbers are and , and no further distinction is given, we take the natural symmetric split within the composite category: because
Therefore,
- Find the mean of
Since the die is thrown twice, and each throw is independent,
The mean of a binomial random variable is:
Thus,
This is not among the options, so let us instead interpret the intended probability assignment facewise from the relation.
- Facewise probability assignment
Let each prime face have probability , each composite face have probability , and face have probability . Then:
Given:
Let the common value be :
Now total probability is 1:
So,
Then Again,
This still does not match the options.
- Check the option pattern
All options are of the form , suggesting the intended relation may have led to so that which matches option D.
However, from the given statement as written, the mathematically derived mean is which is not present in the options.
Therefore, the stored answer appears inconsistent with the stated question.
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