Estimation statistics is a data analysis framework that uses a combination of
effect sizes,
confidence intervals, precision planning and
meta-analysis to plan experiments, analyze data and interpret results. It is distinct from
null hypothesis significance testing (NHST), which is considered to be less informative. Estimation statistics, or simply
estimation, is also known as
the new statistics, a distinction introduced in the fields of
psychology,
medical research, life sciences and a wide range of other experimental sciences where NHST still remains prevalent, despite estimation statistics having been recommended as preferable for several decades.