Answer:
the answer is going to be D. (3,4,5,8,9,3)
Answer:
101 2/3
Step-by-step explanation:
Answer: Choice A) A true null hypothesis is rejected
In other words, if the reality is that the null is true but your research says otherwise, then you've committed a type i error.
A type ii error is when you fail to reject the null (basically "accepting" the null) while in reality the alternative is the true hypothesis.