a statistics essay

a statistics essay

The Importance of Statistics in Modern Society

1. Introduction to Statistics

It should be known that researches in many departments at various institutions depend largely on statistics and without statistics, the functioning of these departments could be paralyzed, including commerce and industries. In this essay, points that help and support the role of statistics in various fields are stated. These points are also vital and to be known by all statistics students as well as other users of statistics. Without a doubt, high-quality researches or practices could not be performed without the knowledge of its importance.

This essay is about the relationship of statistics and society. In any specialized profession, an operational definition is necessary in order to find a solution to a particular problem. For instance, in order to build a bridge, a certain level of mathematical knowledge is required. This same knowledge is known as applied mathematics; because of the word “engineering” involved, one can also say engineering mathematics. In the search for solutions to various problems, different other forms of mathematics application appear. In psychology, there is psychology mathematics, and in economics, the same applies; in demography, there is demography mathematics, physics, physics mathematics, chemistry, chemistry mathematics, statistics, statistics mathematics. However, people refer to statistics mathematics as statistics in short. The importance of statistics in economics, demography, psychology, biology, medicine, and other subjects has been mentioned. Generally, mathematics of various applied sciences is supported by the knowledge of statistics. In other words, it can be said that knowledge of mathematics without statistics does not guarantee a solution.

2. Applications of Statistics in Various Fields

It is clear from the summary that the applications of statistics are enormous. A statistician may be found in most areas of human activity. Although statistical methods may have relative difficulties, they make necessary computations possible. Modern statistical methods can handle practically all types of data, enabling investigators to treat the data more effectively and interpret the results in a more meaningful way than would otherwise be possible. Consequently, statistics constitutes an important part of the knowledge of modern man.

4. Statistical methods are also used in the physical, biological, and natural sciences to evaluate and improve the quality of existing data.

3. In the field of management, statistics is used for planning inventory, budgeting, production service, quality control, marketing research, business surveys, labor statistics, human resources management, and customer services.

2. Educational administration and leadership frequently use graphical and numerical measures to assess concepts such as educational suitability.

1. Statistical techniques have been extensively used in psychology and sociology to analyze the relationships between two or more variables.

Today, statistical methods are applied in various fields in which statistical techniques are used to solve various problems of human concern. A few of the areas in which statistical methods are commonly employed are:

3. Common Statistical Methods and Techniques

There are methods of organization and presentation that are used to aid comprehension of the large sets of data obtained. These are followed by graphical and numerical techniques designed to assist in the study and evaluation of the information. They provide mathematical models that can be used as templates. In short, statistical methods build an interlocking structure, or framework, designed to help the analyzing implement the challenging yet exciting task of putting things into perspective, of elevating insight, and of discovering information from data. These methods also measure the ever-present yet often unquantified flow of variation. Descriptive statistical measures give characteristics of data and can be used to compare one or more data sets. This can be done by looking at an individual measure or by applying a combination of statistical methods, ranging from simple to more complex, as appropriate.

Having discussed the various roles of statistics, let us now turn our attention to the most commonly used statistical methods. There are methods used in analyzing any given set of data, ranging from the fairly elementary to the highly sophisticated. The selection of the methods to be employed in any given situation will often depend on the nature of the data we take as our starting point. In this section, we will discuss some of the commonly used statistical methods and indicate the type of data that they handle most effectively.

4. Ethical Considerations in Statistical Analysis

One who is doing statistical consulting for academic researchers may need to be concerned about: the rights of subjects in experiments or surveys, or even the rights of nongovernmental organization clients whose data are being used; ensuring the adequacy of both experimental study design and analysis; statistical assumptions, with the integrity of the statistical summary; and data quality and confidentiality, property rights of the funding entity, and the proper release of information. For statisticians working on industry extensions, there may be added concerns: the propriety of statistical activity; financial correspondence and its impact on the earnings and stock price of a company; regulatory concerns; and corporate interests concerning the release of information.

Despite the rhetoric of some statisticians implying otherwise, statistical analysis is not mechanical and automatic, nor is it amoral. Thus, one who is doing statistical consulting as part of a research team is involved in an important way in the goals, measurements, and interpretations of a research project. Sometimes accepted practices in science, industry, or business may go counter to other moral, ethical, or professional practices, such as professional responsibility or national policy. An effective statistician, particularly one who is part of a research team in an organization or company, should hold strong moral commitments. Every statistician should be aware of the various ethical and professional standards in his or her field. These may pertain to employer, client, public, science, profession, and colleagues.