Answer:
Accept error
Explanation:
Accept error is used in statistical. It is the error that occurred during the recruitment of an employee in an organization for that post the candidate is not well qualified but some reason the recruiter thinks that they would feel that for the benefits of the organization. Reject error is the opposite of accept error.
There are two types of error in statistics
Type I error: It is the wrong rejection of the null hypothesis. It is also called a false positive error
.
Type II error: It is the failure to reject the null hypothesis that is false at a point. It is also called a false negative error.
Answer:
physical system don't determine human interaction, however, it does influence and constrain choices they make. hope that helps
Establishing public schools
