In
statistics,
sequential analysis or
sequential hypothesis testing is
statistical analysis where the
sample size is not fixed in advance. Instead data is evaluated as it is collected, and further sampling is stopped in accordance with a pre-defined
stopping rule as soon as significant results are observed. Thus a conclusion may sometimes be reached at a much earlier stage than would be possible with more classical
hypothesis testing or
estimation, at consequently lower financial and/or human cost.