When is a confidence interval a better choice than standard deviation?

Confidence intervals provide a more direct measure of the probability that the true population parameter lies within the calculated range. Standard deviation represents the spread of data, but doesn't tell you how likely it is that the true value is within a certain range. Confidence intervals are often preferred when you want to quantify the probability of an estimate being accurate.