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Question #41016

Difficulty: 8/10 | 🟢 Free

The Question

Let SS be a set containing 5 distinct elements. Let AA be the family of all subsets of SS having an even number of elements, and BB be the family of all subsets of SS having an odd number of elements. A random sample of 16 subsets is chosen without replacement from the power set of SS. Let EE be the event that the sample contains an even number of subsets from AA, and FF be the event that the sample contains an even number of subsets from BB. What is the probability of E∪FE \cup F?

Options

  • A.

    12+(168)2(3216)\frac{1}{2} + \frac{\binom{16}{8}}{2\binom{32}{16}}

  • B.

    34\frac{3}{4}

  • C.

    12−(168)2(3216)\frac{1}{2} - \frac{\binom{16}{8}}{2\binom{32}{16}}

  • D.

    12\frac{1}{2}

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Correct Answer

Step-by-Step Solution

Explanation

How the Examiner Thinks

Bridge

Practice problems that bridge the gap between foundational theory and advanced practical application.

Concepts Behind This Question

Mutually Exclusive vs Independent|Vandermonde's Identity|Binomial Coefficient Summation Properties

Why This Question Is Tricky

Common Mistakes

This question targets the lethal misconception of treating dependent combinatorial selections as independent Bernoulli trials.

Students often intuitively guess P(E)≈1/2P(E) \approx 1/2 and P(F)≈1/2P(F) \approx 1/2, then incorrectly apply the union formula for independent events P(E∪F)=P(E)+P(F)−P(E)P(F)=3/4P(E \cup F) = P(E) + P(F) - P(E)P(F) = 3/4.

The trap exploits the fixed-sum constraint (X+Y=16X+Y=16), which makes the events perfectly dependent (E=FE=F).

Furthermore, it tests the advanced application of Vandermonde's identity and alternating binomial sums to exactly evaluate the constrained sample space, punishing students who rely on intuition rather than rigorous combinatorial summation.

Quick Facts About This Question

Question Information

SubjectMathematics
ChapterProbability - Class 11
ConceptMutually Exclusive vs Independent
Difficulty8
Cognitive Load7
Target Solve Time160 sec
AccessFree