Respuesta :
Answer:
Option A, enough statistical support for the research hypothesis when there is not
Explanation:
Type I error occur when the hypothesis claimed is not correct but there are enough statistical proof to support it.
For example -
If the statistical proof are enough to support occurrence of any disease in a person, who actually do not have that disease then such errors are known as type I error.
Type II error are just opposite to Type I error. In Type II error a person has a disease but there is no statistical proof to support it.
Hence, option A is correct