What does a 95% confidence interval indicate?

 A) There is a 95% chance that the true parameter lies within the interval. 

B) 95% of all possible samples will have means within this interval. 

C) If the same study were repeated 100 times, approximately 95 of the confidence intervals would contain the true parameter. 

D) None of the above.