Origin
and Growth of Statistics
The
origin of statistics can be traced back to the primitive man, who put notches
on trees to keep an account of his belongings. During 5000 BCE, kings used to
carry out census of populations and resources of the state. Kings of olden days
made their crucial decisions on wars, based on statistics of infantry, and
elephantary units of their own and that of their enemies. Later it enhanced its
scope in their kingdoms’ tax management and administrative domains. Thus, the
word ‘Statistics’ has its root either to Latin word ‘Status’ or Italian word
‘Statista’ or German word ‘Statistik’ each of which means a ‘political state’.
The word ‘Statistics’ was primarily associated with the presentation of facts
and figures pertaining
to demographic, social
and political situations prevailing in a state/government. Its evolution
over time formed the basis for most of the science and art disciplines.
Statistics is used in the developmental phases of both theoretical and applied areas,
encompassing the field of Industry, Agriculture, Medicine, Sports and Business
analytics.
In olden days statistics was used for political- war purpose. Later, it was extended to taxation purposes. This is evident from Kautilya’s Arthasastra (324 – 300 BCE). Akbar`s finance minister Raja Thodarmall collected information regarding agricultural land holdings. During the seventeenth century, statistics entered in vital statistics, which is the basis for the modern day Actuarial Science. Gauss introduced the theory of errors in physical sciences at the end of eighteenth century.
Statistics
is concerned with scientific method for collecting, organizing, summarizing,
presenting, analyzing and interpreting of data. The word statistics is normally
referred either as numerical facts or methods.
Statistics
is used in two different forms-singular and plural. In plural form it refers to
the numerical figures obtained by measurement or counting in a systematic
manner with a definite purpose such as number of accidents in a busy road of a
city in a day, number of people died due to a chronic disease during a month in
a state and so on. In its singular form, it refers to statistical theories and
methods of collecting, presenting, analyzing and interpreting numerical
figures.
Though
the importance of statistics was strongly felt, its tremendous growth was in
the twentieth century. During this period, lot of new theories, applications in
various disciplines were introduced. With the contribution of renowned
statisticians several theories and methods were introduced, naming a few are
Probability Theory, Sampling Theory, Statistical Inference, Design of
Experiments, Correlation and Regression Methods, Time Series and Forecasting
Techniques.
In
early 1900s, statistics and statisticians were not given much importance but
over the years due to advancement of technology it had its wider scope and
gained attention in all fields of science and management. We also tend to think
statistician as a small profession but a steady growth in the last century is
impressive. It is pertinent to note that the continued growth of statistics is
closely associated with information technology. As a result several new inter-
disciplines have emerged. They are Data Mining, Data Warehousing, Geographic
Information System, Artificial Intelligence etc. Now-a-days, statistics can be
applied in hardcore technological spheres such as Bioinformatics, Signal
processing, Telecommunications, Engineering, Medicine, Crimes, Ecology, etc.
Today’s
business managers need to learn how analytics can help them make better
decisions that can generate better business outcomes. They need to have an
understanding of the statistical concepts that can help analyze and simplify
the flood of data around them. They should be able to leverage analytical
techniques like decision trees, regression analysis, clustering and association
to improve business processes.
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