Question

discuss the four potential outcomes of hypothesis testing and describe what is meant by type 1 and type 2 errors. provide an example when these errors might occur

Answer 1

Hypothesis testing is assessing the variation between 2 samples. the purpose of hypothesis testing is to determine whether there is adequate statistical evidence to prove that relationship.the potential outcome of hypothesis includes,

Type1- when we reject the true null hypothesis that is call type1 error

Type2- when we accept the false null hypothesis that is called type2 error

Type 1 error

This is also known as a “false positive”: the error of rejecting a null hypothesis when it is actually true. ie,this is the error of accepting an alternative hypothesis when the results can be attributed to chance.

Type 2 error

This is also known as a "false negative": the error of not rejecting a nullhypothesis when the alternative hypothesis is the true state of nature. ie, this is the error of failing to accept an alternative hypothesis when the researcher don't have adequate power. Also known as error of omission.