In a two-tailed hypothesis test with a significance level of 0.01, the decision rule involves determining the critical values that correspond to the upper and lower 0.005 tails of the distribution. If the test statistic exceeds the critical value (or is less than the negative critical value), you would reject the null hypothesis. Without additional context on the distribution or the test statistic, it's not possible to specify the exact values, but generally, you would reject the null hypothesis if the test statistic is beyond these critical values.
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