INTRODUCTIONStatistics is a branch of mathematics that deals with the collection, analysis, interpretation, and presentation of masses of numerical data. Statistics essentially involves putting mathematics to scientific use in the form of data comparison, analysis, and presentation.
Statisticians make use of various methods like questionnaires, surveys and diagnostics tests to study real life problems in a broad range of disciplines like biology, economics, engineering, medicine, physics, sociology and psychology. They collect data from reliable sources, evaluate it using scientific methods, make use of statistical tools and present their findings in the form of graphs, charts, tables etc. On the basis of their findings they suggest potential applications of the results of their survey and help to find solutions to the problem at hand. Statisticians are also heavily involved in the development of products and quality factors. They often work for automobile, pharmaceutical, or computer software companies in trial testing and product evaluation. Apart from development, statisticians are also involved with the manufacturing, asset, liability, and risk management, and marketing departments of firms.
Most government organizations and agencies hire statisticians to evaluate population, demographic, and economic measurements. Many other environmental, scientific, and agricultural agencies hire statisticians for similar type of work in their respective fields. Even national defense organizations hire statisticians to assess weapons and strategy effectiveness. Depending upon the statistical specializations they have different job titles like Biostatisticians and epidemiologists in the health industry. Econometricians work in areas involving economic research and data. Teaching and research field are open to candidates with a master's degree and doctorate. Fieldwork may be required in some cases and this may involve a lot of traveling for collection of data.
Over the course of the next decade, job growth is likely to decline. Instead of having a typical statistician job profile one can go in for related specialization in statistics which will help in better employment opportunity. The most qualified candidates for jobs are those with a graduate education in statistics relating to finance, engineering, computer science, and biology. Thus a qualified statistician will find job opportunities in the following fields
• Public sector organizations
• Financial institutions
• Private companies.
• Colleges and Universities employ statisticians for teaching.
• Statistical research Areas
• Government Operations
• Sports statisticians where they collect and analyze sports data
• Banks and public-sector undertakings.
• Pharmaceutical firm may employ a statistician to evaluate drug efficiency.
• Software firms also hire statisticians for quality control and software development.
• They can also work as business consultant.
• Specialists who use statistics often have different professional designations like econometrician, biostatistician, research analyst, biometrician, epidemiologist etc.
Two visiting appointments in the USA, at the University of North Carolina at Chapel Hill (UNC) in 1952-1953 and at Case Institute of Technology in Cleveland, Ohio, in 1960-1961, led to his permanent appointment as Professor in the Department of Statistics at UNC in 1962. He was Chairman 1971-1976 and officially retired in 1982, but continued to be active in scholarship and research as Professor Emeritus almost until his death. UNC named a distinguished endowed chair in his honour. He expressed a wish to retire completely and return to live in Ilford, but never managed it.
Publications He wrote, together with Samuel Kotz, a standard reference series, Distributions in Statistics. This series has been described as of "virtually Biblical authority", a comment that he (a devout Christian) firmly rejected. He was editor-in-chief of the 10-volume Encyclopedia of Statistical Sciences, widely regarded as one of the most important reference works in statistical methodology. He also wrote several textbooks and about 180 papers. His book "Survival Models" was co-authored with his wife Regina Elandt Johnson, herself a professor of biostatistics. He was honoured in numerous ways, including the Wilks Award of the American Statistical Association, the Shewhart Medal of the American Society for Quality Control and a D.Sc. degree from UCL.
David George Kendall FRS (15 January 1918 - 23 October 2007) was a British statistician, who spent much of his academic life in the University of Oxford and the University of Cambridge. He worked with M. S. Bartlett during the war, and visited Princeton University after the war. Kendall was born in Ripon, North Yorkshire, and attended Ripon Grammar School before attending Queen's College, Oxford, graduating in 1943. From 1962 to 1985 he was Professor of Mathematical Statistics at the University of Cambridge and fellow of Churchill College. He was a world expert in probability and data analysis, and pioneered statistical shape analysis including the study of ley lines. He defined Kendall's notation for queueing theory. In 1980 the London Mathematical Society awarded Kendall their Senior Whitehead Prize and in 1981 the Royal Statistical Society awarded him the Guy Medal in Gold. Bridget Kendall and Wilfrid Kendall are among his children.
Charles Frederick Mosteller (December 24, 1916 - July 23, 2006, usually known as Frederick Mosteller or Fred) was one of the most eminent statisticians of the 20th century. He was the founding chairman of Harvard's statistics department, from 1957 to 1971, and served as the president of several professional bodies including the Psychometric Society, the American Statistical Association, the Institute of Mathematical Statistics, and the American Association for the Advancement of Science, and the International Statistical Institute.
Herbert Ellis Robbins (January 12, 1915 in New Castle, Pennsylvania - February 12, 2001 in Princeton, New Jersey) was a mathematician and statistician who did research in topology, measure theory, statistics, and a variety of other fields. He was the co-author, with Richard Courant, of what is Mathematics, a popularization that is still (as of 2007) in print. The Robbins lemma, used in empirical Bayes methods, is named after him. Robbins algebras are named after him because of a conjecture (since proved) that he posed concerning Boolean algebras. The Robbins theorem, in graph theory, is also named after him.
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