True. In a symmetric hypothesis test, a "Yes" result (typically indicating a p-value below a certain significance level) validates the alternative hypothesis, while a "No" result (p-value above the significance level) does not provide enough evidence to reject the null hypothesis but does not prove it to be true. Therefore, a "No" does not invalidate the hypothesis; it simply suggests that there isn't sufficient evidence to support the alternative hypothesis.
True or False: For an symmetric test, a result of Yes validates the hypothesis, but a No does not invalidate it.
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