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A functional mean test tests whether the mean of a Hilbert-space-valued random variable is zero. The squared-norm statistic $n\Vert \overline{X}{\Vert }^2$ has a weighted chi-squared limit under the null, while an FPCA test standardizes and truncates the coordinates.