Final answer:
The statement from the question is false; the probability of finding additional errors in a program section does not have an inversely proportional relationship to the errors already found. This concept is distinct from Type I and Type II errors, which are statistical terms related to hypothesis testing.
Step-by-step explanation:
The statement referring to Myers that the probability of the existence of more errors in a section of a program is inversely proportional to the number of errors already found in that section is false. In software testing and debug theory, the idea is that as one identifies and corrects errors, the less likely one will find new errors, not because errors are inversely related to those found, but because areas of the program have been scrutinized and fixed, theoretically reducing the likelihood of additional errors being present.
However, this concept does not directly relate to Type I and Type II errors, which are a part of hypothesis testing in statistics. A Type I error happens when a true null hypothesis is incorrectly rejected, and a Type II error occurs when a false null hypothesis is not rejected. These concepts reflect the reliability of a hypothesis test and involve the probabilities α and β.