Answer:
c)
Explanation:
A type II error refers to the non-rejection of a false null hypothesis (also known as a "false negative" finding or conclusion). This means that the null hypothesis is false and you fail to reject it .
The type II error gives you a false negative conclusion, meaning that it tells you something is false when it's actually true.
Observing the option we have we can conclude that the one that refers to type II error is c) Concluding that a treatment has no effect when it really does (false negative)
Note;
A) and B) show no errors.
D) shows a Type I error where you conclude something is positive when it's actually false.
The consequence of type II error is concluding that a treatment has no effect when it really does.
A type II error is a statistical phrase used in hypothesis testing to describe the error
That happens when a null hypothesis that is genuinely untrue is not rejected.
A type II error, also known as an omission error, results in a false negative.
The cause of type II error is statistical power of a testing become low.
Thus, the correct option is C) Concluding that a treatment has no effect when it really does.
Learn more about Type II error
https://brainly.com/question/8174121
