For a random variable x, the central moments (\(\mu \)i) of all order exist. The square of (2j + 1)th moment (\(\mu^2_2{_j}{_+}{_1}\)) is

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SSC CGL JSO Tier-II, 2018 (Statistics) Official Paper-III (Held On: 14 Sept, 2019)
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  1. More than \(\mu_2{_j}\mu_2{_j}{_+}{_2}\)
  2. Less than or equal to \(\mu_2{_j}\mu_2{_j}{_+}{_2}\)
  3. More than or equal to \(\mu_2{_j}\mu_2{_j}{_+}{_2}\)
  4. Less than \(\mu_2{_j}\mu_2{_j}{_+}{_2}\)

Answer (Detailed Solution Below)

Option 2 : Less than or equal to \(\mu_2{_j}\mu_2{_j}{_+}{_2}\)
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Detailed Solution

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Explanation

For a random variable, central moment(μ) of all order exist

Square of (2j + 1)th moment (μ22j + 1)

Let j = 1 then (2j + 1)th moment is given by

23) = [(∑(x – x̅)3/N]2

⇒ (∑x3/N)2    ------(i)

If j = 1 then μ2 = ∑x2/N

⇒  μ2j + 2 if j = 1 then

⇒ μ4 = ∑x4/N

⇒ μ2 × μ2j + 2 = ∑x2/N × ∑x4/N    ------(ii)

Compare both equation

(∑x3)2/N2 = (∑x2 × ∑x4)/N2  

⇒ (∑x3)2 ≤ (∑x2 × ∑x4)

2j + 1)2 ≤ μ2j × μ2j + 2

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