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Part CCSIR NET December 2024the-transform-is-uniform-not-cauchy

The transform is uniform not cauchy

Let X be a random variable with probability density function . If , then which of the following statements are true?

  1. A.E(Zᵐ) = 1/(m + 1), for all
  2. B., where is the cumulative distribution function of standard normal random variable.
  3. C.Z is degenerate at 0.
  4. D.If and are independent and identically distributed (i.i.d.) random variables having distribution same as the distribution of Z, then Z has the same distribution as .

You have the answer. Trap Analysis is why the other three were written.

Not a worked solution repeated four times — the specific reasoning error each wrong option was built to reward.

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50 are analysed free — try those first.

Related counterexample: Uncorrelated ⇒ independent

More on this topic

The chapter behind this: Random variables, moments and generating functions — free to read

From ProbabilityRandom variables, distributions, moments, MGF

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