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Do you mean "reliability?" There is no such word as "relability". Reliability is a statistical term that describes the degree to which we can be confident that a statistical outcome is characteristic of the entire population from which the statistical sample was drawn or will be replicated in subsequent studies. For example, suppose we randomly select 30 healthy American men born in 1945 and 30 born in 1985, compare their heights, and find that the average of the younger group is 1 inch taller than the older group. Is this a random sampling error or is the height difference characteristic of the population? If the probability that sampling error accounts for the outcome is less than 5% or 1% or 0.1%, we say that we are 95% or 99% or 99.9% confident that there is a real height difference in these age groups in the population. A 95% level of confidence is not very high because in 5% of studies, sample error could account for the outcome.
