Step 1 :The null and alternative hypotheses are \(H_{0}: p=0.91\) versus \(H_{1}: p>0.91\).
Step 2 :The test statistic, \(z_{0}\), is determined to be 0.58.
Step 3 :The critical value is determined by finding the z-score that corresponds to the area to the right of the standard normal distribution curve that equals 0.01. This is a one-tailed test, so we use 1 - 0.01 = 0.99 as the input to the inverse of the cumulative distribution function.
Step 4 :The critical value at the significance level of 0.01 is approximately 2.33. This is the z-score that corresponds to the area to the right of the standard normal distribution curve that equals 0.01.
Step 5 :The final answer is that the critical value is \(\boxed{2.33}\).