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Counterexample

Is this true?

If every marginal is normal then the vector is multivariate normal

No — it is false.

The counterexample

X ~ N(0,1) and Y=εXY = \varepsilon{}X with ε=±1\varepsilon = \pm1 independent

Why it fails

Both marginals are N(0,1) but X + Y is 0 half the time — not normal, so the pair is not jointly normal.

Keep practicing

Boundary and endpoint

The statement turns at the edge of the interval, the domain, or the parameter range.

Go deeper· Explained in full in Multivariate normal and Wishart· Asked in CSIR NET June 2025· From Linear Models and Multivariate › Multivariate normal distribution

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