In order to explore the use of statistics in everyday life, the essay should start with a debatable statement. On a daily basis, people collect and analyze a lot of information presented in numbers, and it is closely associated with different aspects of their lives. Thus, it is typical to apply the elementary statistical approaches to examining the learned material about everyday activities. It can help to get the average results in relation to actual events or phenomena.
However, many people do not guess that they use such principles as the base for their knowledge. So, to reveal the importance of statistics in daily life, this essay will provide different real-life examples and explain the application of various data analysis methods.
Moreover, when persons have to present the solution to this or that question or decide how to act in the definite situation they also use the statistical data on the issue as one of the main arguments which can influence the further development of the case. That is why statistics can be defined as the science which deals with the data’s collection and its interpretation according to the certain task, and the results of the research can be effectively used in many spheres. From this point, the relative value of statistics for the everyday life is in the fact that people have the opportunity to plan their actions according to the statistical data with references to those results which can satisfy or not their expectations.
People are usually interested in the average temperature and the weather forecasts, in the amount of people who prefer this or that product which they usually purchase. These persons listen to the economical news in which the data of statistics on the state’s development are presented and pay attention to the risks of the transport incidents before going out the house. The statistical data influence all the aspects of the people’s life during the whole day.
When an individual wants to learn about the latest news he concentrates on the information which is interesting for him personally, and these facts are often given in the form of numbers. The average results in different fields and areas from the average level of incomes in the country and the average level of attendance the local library till the average data on the consumers’ preference of brands and services can provide the basics for the people’s choices and usual decisions which are made as a part of the daily rituals and routines.
One more effective advantage of statistics is the possibility to offer the prognoses of the development of definite situations and processes. People are inclined to use the statistical prognoses when they plan such significant changes in their life as the search of the new job, new investments in companies, travelling, and long-term projects. Statistics as the science is based on the strict mathematical calculations and formulas (Bluman, 2009). That is why its methods can be discussed as the effective ways of interpreting the collected quantitative information on any aspect of the life.
It is possible to analyze the tendencies of the world’s development with references to the statistical approach and use this approach as the means to organize the everyday life according to these trends. Furthermore, many people focus on the results of the statistical researches not only at the elementary level in their daily life but also as the part of their work. Thus, accounting, economics, logistics, and many other spheres of the knowledge use statistics (Black, 2009). Moreover, working with their computers, people often refer to the statistical analysis of the data in order to receive the average result or form the picture of the process’s development (Mann, 2010).
Today, it is not necessary for people to examine and test a lot of material to get the information about its appropriateness for the people’s everyday activity or about tendencies of the phenomenon’s progress because all these data can be taken in the form of the statistical graphs or percentages. There are many daily questions the answers to which are hidden in the statistical data.
References
Black, K. (2009). Business statistics: Contemporary decision making. USA: Wiley.
Bluman, A. G. (2009). Elementary statistics: A step by step approach. New York, NY: McGraw-Hill.
Mann, P. S. (2010). Introductory statistics. Hoboken, NJ: Wiley.