Final answer:
Type I and Type II errors are types of inferential errors in statistics that occur when a true null hypothesis is rejected or a false null hypothesis is not rejected, respectively.
Step-by-step explanation:
In statistics, there are two types of inferential errors known as Type I and Type II errors. Type I error occurs when a true null hypothesis is rejected, meaning that a significant difference is detected when there is actually none. Type II error occurs when a false null hypothesis is not rejected, meaning that no significant difference is detected when there is one.