Type I and Type II errors
One of the ways that you can discuss and interpret your data is to discuss the potential for a Type I or a Type II error. Type I and Type II errors have to do with whether you have potentially made the mistake of rejecting the null hypothesis when it is actually true (Type I) or retaining the null hypothesis when it is not true (Type II). Watch the following video for a quick explanation of the two types of errors....