A type II error of inference suggests that:
a. null hypothesis was rejected, but in reality, it was true.
b. Asserts that there was a difference between the population parameter among the groups being compared.
c. failed to reject the null hypothesis and in reality, it was incorrect in the real world.
d. Asserts there is no difference in the population parameter among the groups being compared.