The wider the confidence interval, the more likely it is that the interval contains the true value of the population parameter.

This statement is true. The wider the confidence interval, the more spread out the range of possible values is, which means there is a higher probability that the true population parameter falls within that range. A narrower interval means a smaller range of possible values, which decreases the probability of capturing the true value of the population parameter.