ABSTRACT
Statistical techniques are the inherent feature of mathematics based engineering. So, the field of yarn engineering cannot be left untouched in this regard. Yarn engineering begins from the point of yarn testing, usually generating test data, may be smaller or larger in size depending on type of test and its degree of complication. Handling such disperses data and deriving trend out of it requires mathematical analysis in terms of central tendency and dispersion. The most accurate methods like mean and standard deviation are used for further evaluation purpose. Compatibility of individual fiber parameters can be realized by using statistical tools like; significance testing or critical difference. Fast track testing methods and need of higher precision demands use of over all fiber quality index for defining technological value in one numerical figure. Various statistical techniques were developed in the due course of time, like; Q, FQI, MFQI SCI, PDI, MI
AHP , IG have been accounted in this chapter. Computer
software based statistical technique that is linear programming (LP) method has also extended support in optimising cotton mix quality and cost on scientific ground.
