Usually the probability is zero of the estimate becoming exactly the true value of the parameter.\\
\begin{block}{Confidence intervals} An interval which contains the true value with a confidence level \mbox{1 - $\alpha$}. \end{block}
\begin{block}{Confidence level} The proportion of cases where the confidence interval contains the true parameter, in repeated experiments. \end{block}
\begin{block}{Confidence limits} are the endpoints of the confidence interval, called the {\bf lower and upper confidence limit} (or bounds) \end{block}
Details
Usually the probability is zero of the estimate becoming exactly the true value of the parameter.\\
\begin{block}{Confidence interval} is a numerical interval which contains the true value with a given confidence level \mbox{1 - $\alpha$}. \end{block}
\begin{block}{Confidence level} The ratio of cases when the confidence interval contains the true value of the parameter, when the experiment is repeated very often. \end{block}
\begin{block}{Confidence limits} are the endpoints of the confidence interval, called the {\bf lower and upper confidence limit} (or bounds) \end{block}