Answer:
+.5
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.
I was stuck on the same thing in my class test. I ended up failing but if I get the answers to it I’ll totally send them to you
Answer:
too blurry, I cant see the numbers
