Final answer:
The probability of making a Type II error is 0.95.
Step-by-step explanation:
The probability of making a Type II error, denoted as B, can be calculated as 1 - power. Power is the probability of correctly rejecting the null hypothesis when the alternative hypothesis is true. In this case, the alternative hypothesis is that the proportion of errors generated is more than 0.01. Since α = 0.05 is given, the power would be 1 - α.
Therefore, the probability of making a Type II error is 1 - α = 1 - 0.05 = 0.95.