Answer :
If a hypothesis test leads to the rejection of the null hypothesis, a Type I error has been committed.
Type I error:
Rejecting the null hypothesis when it is in fact true is a Type I mistake. It entails drawing conclusions about outcomes that are statistically significant when, in fact, they were just the consequence of chance or unrelated causes.
The significance level you select (alpha or ) determines the likelihood that you will make this mistake. You determined that figure at the start of your research to determine the statistical likelihood of getting your results (p value).
The typical significance level is 0.05 or 5%. If the null hypothesis is accurate, your results only have a 5% chance or less of occurring.
A Type I error has been made if a hypothesis test results in the rejection of the null hypothesis.
To learn more about hypothesis test click here:
brainly.com/question/17099835
#SPJ4
