Answer
Answer: False
Work Step by Step
When we say we are 95% confident with regards to a confidence interval, it means that if we repeatedly sample our population and calculate confidence intervals for each sample we take, we would expect 95% of these intervals to contain the true value of the parameter. For example, if we take 100 different samples of sample size 10, we would expect that 95 of the intervals contain the true value of the population parameter while the other 5 intervals do not.
