In: Statistics and Probability
1)
2)
In statistical hypothesis testing, a type I error is the incorrect rejection of a true null hypothesis (also known as a "false positive" finding), while a type II error is incorrectly retaining a false null hypothesis (also known as a "false negative" finding)
type i error -
it means we declare that student has used drugs in last 72 hours
even though
he is innocent
type ii error -
this means we decide to declare that student has not used drugs
in last 72 hours even though
he is not innocent and used drugs in last 72 hours
type i error is more alarming from the student athlete’s viewpoint, because one innocent student can removed from the athletic team,
Please rate