Correct Answer:
B. The null hypotheses get rejected even if it is true
A Type-I error occurs when a true null hypothesis is incorrectly rejected, meaning a researcher concludes there is an effect when none actually exists.
A Type-I error occurs when a true null hypothesis is incorrectly rejected, meaning a researcher concludes there is an effect when none actually exists.