Skip to content
Part CCSIR NET December 2025scaling-a-wishart-matrix-by-c-scales-sigma-by-c-not-by-1-over-c

Scaling a wishart matrix by c scales sigma by c not by 1 over c

Let X1,X2,,X20X_{1}, X_{2}, \dots, X_{20} be a random sample from N12(μ,)N_{12}(\mu,\sum), where μR12\mu\in\mathbb{R}^{12} and \sum is positive definite. Suppose Xˉ=(1/20)i{\bar{X}} = (1/20)\sum_{i}120Xi_{1}^{20}X_{i} and S=(1/19)iS = (1/19)\sum_{i}120(XiXˉ)(XiXˉ)T_{1}^{20}(X_{i}-{\bar{X}})(X_{i}-{\bar{X}})^{T}. Then which of the following statements are true?

  1. A.19(X̄ᵀSX)(XˉTXˉ))({\bar{X}}^{T}\sum{\bar{X}})1^{1} ~ χ192\chi^{2}_{19}
  2. B.E(S⁻1)=(19/6)^{1}) = (19/6)\sum1^{1}
  3. C.S ~ W12(19,19)W_{12}(19, 19\sum)
  4. D.trace(19(19\sum1S)^{1}S) ~ χ2282\chi^{2}_{228}

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.

See pricing

50 are analysed free — try those first.

Related counterexample: If every marginal is normal then the vector is multivariate normal

More on this topic

The chapter behind this: Multivariate normal and Wishart — free to read

From Linear Models and MultivariateMultivariate normal distribution

Last revised . Found a mistake? Tell us — corrections are the fastest thing we act on.

ShareWhatsAppTelegram