Can someone please explain to me why this statement is false?

d) In statistics, a confidence interval refers to the likelihood that a population parameter will fall between a set of values for a particular percentage of the time. When you take a random sample numerous times, the confidence level refers to the proportion of probability, or certainty, that the confidence interval will contain the real population parameter. "We are 90 percent positive {confidence level} that most of these samples (confidence intervals) contain the genuine population parameter," to put it another way. d) vaou have just constructed a 90% condence interval, then there is a 90% chance that the interval contains the true value of the parameter of interest. (2 marks) Condence interval does not talk about chance or prob. d} Interpretation for a x% confidence interval (a,b} is as below We are x% confident that the true population parameter is between a and b. So confidence interval does not give any idea of chances or probability. It just gives an interval of confidence. So this is also false. If you have just constructed a 90% confidence interval] that means we are 90% condent that the interval contains the true value of the parameter, Cl does not talk about probability.