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" "No technique of random sample has, so far as I can find, been developed in the United States or elsewhere, which can compare in accuracy or in economy with that described by Professor Mahalanobis.
Prasanta Chandra Mahalanobis (Bengali: প্রশান্ত চন্দ্র মহলানবিস) (June 29, 1893 – June 28, 1972) was a renowned Indian scientist and applied statistician. He was popularly address as P.C.Mahalanobis. He is best remembered for the Mahalanobis distance, a statistical measure. He made pioneering studies in anthropometry in India. He founded the Indian Statistical Institute, and contributed to the design of large-scale sample surveys for which he designed the method known as fractile graphical analysis. He was honoured with the Padma Vibhushan, the second highest civilian honour of the Government of India for his contribution to science and services to the country. He is regarded as the "Father of Statistical Science in India". Born and primarily educated at his native village in Munshiganj.
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Population in India is widely differentiated in ethnic composition, geographical and climatic conditions, social and cultural stratification, as well as by differences in economic status. Differential fertility therefore assumes a far more complex picture in India than anywhere in the world. Ethnic. geographical. socio-cultural and economic dilferences give a four-fold patterning with many complicated interactions. It is essential therefore to study different population groups separately.
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In the absence of social awareness and appreciation of the scientific objectivity among sufficiently large number of civil servants or political leaders,the need of validity has not yet been accepted in the official statistical system in India. Ofcial statistics in India is treated as an integral part of the dministrative system which is regulated by the principle of authority. Approval of statistical estimates at a high level of authority is accepted as a bstitnte for validity in many ases there is continuing opposition to independent cross-hccks for the validity of the data. Officials have the feeling that two independent estimates, which might differ would be confusing and, in fact unthinkable; therefore independent cross-checks in statistics should be eliminated.