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The Many Ways You Can Use Statistics .pdf

Original filename: The Many Ways You Can Use Statistics.pdf
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Statistics is handled efficiently in myriad ways in the field of data analysis. Statistical
analysis is a module of data analytics. A representative selection from a total population is
drawn and the data collected is scrutinized so that the sample data speaks for a set of items
dealt with, in the framework of business intelligence. It involves a description of the nature of
data that is to be analysed, drawing a parallel between the sample data selected and the
underlying population, coming up with a model that recapitulates the understanding of how
the sample data is in regard to the total population, substantiating the standpoint that the
model is reliable, and making use of predictive analytics in order to enlist possible scenarios
that make the study relevant, paving the way for further research.
Demography and statistics are yet another link that is often explored, making utmost use of
statistical analysis for the population study, research, administration, etc. Records of births,
deaths, marriages, immigration and emigration and census of population provide data that
help in making sound decisions about national policies, writing reports of our country, doing
an analytic study of the welfare of our country, enabling each and every sector to know, learn
and equip ourselves better, suiting to the demographic component.
Any kind of data, nominal or ordinal, can be represented using pie charts. Qualitative or
descriptive information come under nominal data whereas ordinal data is quantitative. Both
these kinds of data can be displayed statistically using pie charts. Usually, about ten
categories or fewer can be put together in proportion to display relative data.
Quantitative data can be put to analysis using frequency analysis which is a part of
descriptive statistics. In statistics, the frequency is the number of times an event occurs. It
deals with the count of occurrences and examines measures of central tendency, dispersion,
percentiles, etc.
Among software that enables handling of statistical data, the ‘Statistical Package for the
Social Sciences’ (SPSS) is a set of programs for operating, analyzing, and displaying data;
the package being extensively used in the social and behavioral sciences.

© 2017-2018 All Rights Reserved, No part of this document should be modified/used without prior consent
Statswork ™ - www.statswork.com
INDIA: Nungambakkam, Chennai – 600 034
UK: The Portergate, Ecclesall Road, Sheffield, S11 8NX

It is used to do investigative data analysis and descriptive statistics. Among the two, this
software is used to create histograms, frequency distributions, stem, and leaf plots and to
compute the typical measures of central tendency (mean, median, and mode), dispersion
(range, semi-interquartile range, and standard deviation / variance), and of kurtosis.
R is a cohesive group of software amenities for a data operation, calculation, and graphical
demonstration. It includes an operative data management and storage ability, a set of
operatives for controls on collections, in specific matrices, a large, intelligible, combined
assortment of transitional tools for data analysis, graphical accommodations for data analysis
and display, and a simple, robust and active programming language.
This way, statistics is used to collect, analyze and interpret data concerning various fields
such as biostatistics, business analytics, demography, econometrics, geostatistics, quality
control, statistical finance, operations research, etc.

© 2017-2018 All Rights Reserved, No part of this document should be modified/used without prior consent
Statswork ™ - www.statswork.com
INDIA: Nungambakkam, Chennai – 600 034
UK: The Portergate, Ecclesall Road, Sheffield, S11 8NX

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