Hypothesis testing about the mean of a population. Type Two error?
Testing a hypothesis about the mean (mu) of a population.
H0: mu=35 vs H1: mu>35
There is a type two error if
a. you do not reject H0 when mu is really 40
b. rejects H0 when mu really is 40
c. you do not reject H0 when mu really is 35
d. you do not reject H0 when mu really is 30
e. you reject H0 when mu really 45
What does it mean by a type two error. Some help with the question. Thanks
- Anonymous1 decade agoFavorite Answer
Type two error means accepting the null hypothesis Ho when it is actually not true. So suppose you solve the above problem and then you get a conclusion which states reject Ho. In such a case if you accept Ho, then it is called type 2 error. I don't think any of the above options is correct. The correct answer should be you do not reject Ho when mu is really not 35.
- hustedtLv 44 years ago
(a) hypothesis: Coin is a undemanding coin. try: turn the coin many cases and learn the outcomes. (b) style I: blunders of rejecting null hypothesis whilst it is authentic. style II: blunders of accepting null hypothesis whilst it is faulty.