Step 1 :The problem is asking for the critical values at different levels of significance for a right-tailed test. The critical value is the value that the test statistic must exceed in order for us to reject the null hypothesis. In a right-tailed test, we reject the null hypothesis if the test statistic is greater than the critical value.
Step 2 :The critical value can be found using the z-score table or a statistical software. The critical value is the z-score that corresponds to the given level of significance.
Step 3 :The critical values for the given levels of significance are as follows: Critical value at \(\alpha=0.01\) : \(\boxed{2.326}\), Critical value at \(\alpha=0.05\) : \(\boxed{1.645}\), Critical value at \(\alpha=0.10\) : \(\boxed{1.282}\)