Atype i significance error occurs when a researcher claims that there is a. enough statistical support for the research hypothesis when there is not b. not enough statistical support for the research hypothesis when there is c. enough statistical support for the research hypothesis when there is d. not enough statistical support for the research hypothesis when there is not

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

yes, because even though a theory has a  lot of evidence to support it, it is not always true