General Formula for Confidence Intervals (1 of 2)
If a
statistic is
normally distributed and the
standard error of the statistic is known,
then a
confidence interval for that
statistic can be computed as follows:
statistic ± (z) (σstat)
where σ
stat is the standard error of the statistic. For instance,
the
confidence interval for the mean is:
M ± z σM.
where M is the sample mean and σ
M is the standard error of the mean. If the
standard error has to be estimated then the formula uses
t:
statistic ± (t) (sstat)
where s
stat is the estimated standard error of the statistic. For
example, the
confidence interval for the
mean when σ is estimated is
M ± t sM.