The correct option is c. is a Type I error.
Rejecting a true null hypothesis is a Type I error.
<h3>What is a
null hypothesis?</h3>
A statistical hypothesis known as a null hypothesis asserts that neither statistical significance can be found in a collection of provided observations.
Using sample data, hypothesis testing is performed to judge a theory' veracity. It is sometimes referred to as the "null," and its symbol is H0.
Some key features regarding null hypothesis are-
- A null hypothesis is a form of speculation in statistics that claims that there are no difference between specific characteristics of the a population particular data-generating process.
- The alternate theory contends that there's a distinction.
- A mechanism to reject the null hypothesis with a predetermined level of confidence is provided by hypothesis testing.
- The alternative hypothesis is supported if the null hypothesis can be rejected.
- The foundation of the scientific falsification principle is null hypothesis testing.
To know more about the null hypothesis, here
brainly.com/question/15980493
#SPJ4
The correct question is-
Rejecting a true null hypothesis _____.
Select one:
a. is a Type II error
b. depends on the size of the estimation sample
c. is a Type I error
d. should not happen if a valid statistical test is used
