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Data Management

C H A P T E R   IV

The use of statistics can be traced back to ancient civilizations such as Babylon, Egypt, and Rome, where statistical methods were used to collect and analyze data related to populations, crops, and taxes. However, the formal development of statistics as a mathematical science began in the 17th century with the work of English mathematician John Graunt, who analyzed mortality data to study patterns of disease and death in London.

In the 18th century, statisticians such as Jacob Bernoulli, Pierre-Simon Laplace, and Carl Friedrich Gauss made significant contributions to the development of statistical theory and methods. The 19th century saw the emergence of modern statistics with the works of Francis Galton, Karl Pearson, and Ronald Fisher, who introduced new concepts and methods such as correlation, regression, and hypothesis testing.

Since then, statistics has become an essential tool in almost all fields of study and practice, including science, business, engineering, healthcare, social sciences, and many others. Today, statistics continues to evolve and expand with the use of new technologies and data sources, making it a vital discipline for understanding and solving complex problems in the modern world.


Statistics can be applied in many areas of human endeavor, from science and medicine to business and finance. Some examples of areas where statistics have been used in the past include:

  • Agriculture: Statistics have been used to analyze data on crops, soil, and weather patterns to improve agricultural productivity and food security.

  • Astronomy: Statistics have been used to analyze data from telescopes and other instruments to study the properties and behavior of stars, galaxies, and other celestial objects.

  • Economics: Statistics have been used to analyze data on markets, consumer behavior, and economic trends to inform business and policy decisions.

  • Medicine: Statistics have been used to analyze data from clinical trials and epidemiological studies to evaluate the effectiveness and safety of medical treatments and interventions.

  • Psychology: Statistics have been used to analyze data from experiments and surveys to study human behavior and cognition.

  • Sports: Statistics have been used to analyze data on athlete performance and team dynamics to inform coaching strategies and player selection.

These are just a few examples of the many areas where statistics have been applied. With the increasing availability of data and the growing demand for data-driven decision-making, the use of statistics is becoming even more important in many fields of study and practice.

Chapter Information

Intended Learning Outcomes

  • Use a variety of statistical tools to process and manage numerical data.

  • Use the methods of linear regression and correlations to predict the value of a variable given certain conditions.

  • Advocate the use of statistical data in making important decisions.

FRANCES JAY B. PACALDO, LPT, MAED-MATHInstructor, Cebu Technological Universityfrancesjay.pacaldo@ctu.edu.ph(032) 263 7315


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