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This topic has appeared in the English Wikipedia rankings 1 time. It first appeared on 2026-07-11 and was most recently seen on 2026-07-11.
In statistics, a Yates analysis is an approach to analyzing data obtained from a designed experiment where a factorial design has been used.
Full- and fractional-factorial designs are common in designed experiments for engineering and scientific applications. In these designs, each factor is assigned two levels, typically called the low and high levels and referred to as "-" and "+". For computational purposes the factors are scaled so that the low level is assigned a value of -1 and the high level is assigned a value of +1.
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