SOLUTION
A confidence interval, in statistics, refers to the probability that a population parameter will fall between a set of values for a certain proportion of times.
Strictly speaking a 90% confidence interval means that if we were to take 100 different samples and compute a 90% confidence interval for each sample, then approximately 90 of the 100 confidence intervals will contain the true mean value (μ).
Comparing these statements to the options, we can say that
The correct answer is option C. Because it reflects the definition of Confidence interval