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Question #41713

Difficulty: 8/10 | 🟢 Free

The Question

Let p=lim⁡n→∞∑k=1nk2n3+k2sin⁡(k)p = \lim_{n \to \infty} \sum_{k=1}^n \frac{k^2}{n^3 + k^2 \sin(k)}. A biased coin with probability of heads P(H)=14P(H) = \frac{1}{4} is tossed repeatedly. Let NN be the random variable representing the number of tails obtained before exactly 3 heads appear. Let XX be the number of successes in NN independent Bernoulli trials, where the probability of success in each trial is pp. Find the variance of the random variable Z=X+N3Z = X + \frac{N}{3}.

Options

  • A.

    6

  • B.

    10

  • C.

    18

  • D.

    24

Check Your Answer

Correct Answer

Step-by-Step Solution

Explanation

How the Examiner Thinks

Monster

Ultra-high difficulty questions designed to test your limit, stamina, and deep conceptual understanding.

Concepts Behind This Question

Conditional Probability Constraints|Bernoulli Trials Logic|Variance Invariance under Translation|Squeeze Theorem (Sandwich Theorem)

Why This Question Is Tricky

Common Mistakes

The question tests the Squeeze Theorem for limits and the Law of Total Variance in conditional probability.

The core trap is the 'Variance Invariance under Translation' fallacy.

Students often assume Var(X+cN)=Var(X)+c2Var(N)Var(X + cN) = Var(X) + c^2 Var(N), ignoring the covariance between the random number of trials NN and the binomial successes XX.

Alternatively, they treat NN as a constant expected value, yielding Var(X+N/3)=Var(X)=6Var(X+N/3) = Var(X) = 6.

By forcing the translation to be a function of the random variable NN itself, the problem demands rigorous application of Var(Z)=E[Var(Z∣N)]+Var(E[Z∣N])Var(Z) = E[Var(Z|N)] + Var(E[Z|N]), distinguishing rote memorizers from those with deep conceptual clarity.

Quick Facts About This Question

Question Information

SubjectMathematics
ChapterProbability - Class 12
ConceptConditional Probability Constraints
Difficulty8
Cognitive Load7
Target Solve Time160 sec
AccessFree