So I'm not totally sure but I got -15.32
So sorry if it's wrong!!
Answer:
its open you never know tho
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.
Answer:
3rd
Step-by-step explanation:
I think it is true. But Please don't take my word on it.
