We, experts and professionals of Statistics are usually attacked with insinuations about our work.
Beyond the famous phrase “if we have two chickens, I eat two and you none“, Statistics says that, on average, we eat one each. But people endlessly misunderstood this branch of science offers near-endless possibilities of development and implementation.
A cross-science
There are many definitions of what the statistics, but we will keep the following in its brevity and conciseness:
Statistics studies the scientific methods for collecting, organizing, summarizing and analyzing data and to draw valid conclusions and make reasonable decisions based on this analysis in the search for explanation of terms such regular random phenomena.
Nowadays, Statistics has become not only a theoretical tool that abounded in the literature, but in a real tool for use in many facets of life.
Every day take more importance to the implementation of statistical methodologies in managing projects and budgets. For example, management of budgets in health and social security today is inconceivable without the use of able to collect the vast amount of information continuously, and their subsequent treatment by powerful computer.
Similarly, statistical analysis enables an optimum X-ray vision of demographic and social situation of a country, and also predict the evolutionary behavior of populations. Because of this, you can adjust more adequately the general budgets of a country, beyond the recent decisions of politicians.
Thus, Statistics is used by several professionals in fields as diverse as Medicine, Architecture, Business and Social Research, the Meteorology, Biology and so on.
Quantitative Methods versus Qualitative Methods
Traditionally, there have been two working concepts or philosophies regarding the methodologies to carry on the research process. The qualitative view, allowed to bypass the collection and analysis purely quantitative, focusing on those values measurable objectives through qualitative (observation, interview, validation, etc.)
However, today professionals combine both methods, classify this mixture as “quali-quanti methodology”, using statistical requirements to the traditional techniques of qualitative research.
The lure of Statistics is that, in its versatility. Typically, the research process have been turning into flexible over the past decades, thanks in part to technological advances that have given power to the processing of information.
From Laplace to Tukey
Originally, statistics was a new modality in mathematical science, and something designed primarily to counts, gambling, taxonomy and the number of suicides.
From the earliest contributors to the cause, such as Bernoulli, Pearson, Gauss, Bayes and De Moivre to the geniuses of the twentieth century as Yule, Pearson, Fisher, Sneadecor or Cochran, Statistics has gained weight between scientific activity and between activity human, so that a world today would be inconceivable without the application of statistics.
Game Theory, the Law of Large Numbers, Time Series Analysis, Design Samples, the balance of probabilities, Quality Control, the correlation test Chi-square, ANOVA tests are nowadays immense utility and application in many professional fields.
Statistics and 2.0 world
Furthermore, Statistics and the exponential evolution of new technologies go hand in hand, not only by the tremendous support that software development in recent years has enabled the statistical analysis are conducted quickly and inexpensively (operationally speaking ), but Statistics is in itself a tool of analysis 2.0.
For some time, social networks like Facebook, Twitter, Tuenti, etc., are fed by a continuous statistical analysis in the development of their internal applications (games, chats, tips, etc.) and in the allocation of advertising, among other utilities.
Social networks are after all a huge system of nodes where the Operational Research (a branch of mathematics and statistics) will have much to say in the near future. Who knows, maybe Dijkstra algorithm would be able to discover that virtual social relations are based on relationships based on Euclidean similarities.
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