Statistics, which are by definition calculated from a sample that is drawn from a population, have both a point estimate and an interval estimate. The interval estimate is based on the standard error, and on the sampling distribution of the test statistic.
Examples:
confidence interval of a sample mean (example using R TeachingDemo package) [see attachment]
an online demo for confidence interval of a mean (link)
Another online demo - sample size vs. confidence interval for mean (one population):
confidence interval of a sample variance (example using simulation)
confidence interval of a sample median (example using simulation)
Other examples:
confidence interval of a difference in means
online demo - sample size vs. confidence interval for mean (two populations)
http://www.censusatschool.org.nz/2009/informal-inference/WPRH/
confidence interval of a difference in medians
confidence interval of Ppk
confidence interval of Cpk
confidence interval of Gauge R&R
Confidence intervals applied to regression (confidence bands):
And other examples:
R code to graphically demonstrate confidence intervals (contributed by Dr. Juan Hu) - see file "Confidence interval.R" attached below.
Also see: Confidence Misunderstood