The critical point is in the "direction" of the alternative hypothesis. Note that the critical point comes from assuming a specific value for the null distribution; thus, the null hypothesis is really a test of equality.
\(\displaystyle H_a: \mu_1 > \mu_2\) implies a positive critical value;
\(\displaystyle H_a: \mu_1 < \mu_2\) implies a negative critical value.
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