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The process of statistics involves the use of statistical tools to troubleshoot and solve problems. The process of statistics can be defined as the precise and accurate way of analyzing data in order to solve a problem. There are basic steps that must be followed by a statistician in order to get an accurate result. These steps involve data collection, data organization, documentation, and data analysis.
When the data is collected, compiled, and analyzed using different test significances, the results are monitored using varying degrees of inference being the actual process of statistics. The data to be analyzed can be done using different statistical tools. Measures of central tendency, regressions, correlations, deviations, to mention a few, are some of the statistical tools used during the statistical process.
The process of statistics involves two different statistical processes; these procedures, in their turn, include descriptive and inferential statistics, which are used to analyze different problems in statistics. Two basic terms are utilized in statistical analysis; they are population and sample.
The population can be described as the sum of total elements, individuals, or sets that the statistician is observed, while a sample is the exact small element or group of objects extracted from the population size. The knowledge of these variables is instrumental in statistical analysis.
Descriptive statistics is the process where different samples or population size being used for the study, are described using descriptive tools. Solving problems using the means, percentages, average, mode, median, graphs, and charts follow the descriptive process. However, inferential statistics requires the use of predictions about a sample or a population size.
The use of chi-square test, correlation, regression, etc., are some examples of statistical tools used to predict a survey. Descriptive and inferential statistics are similar procedures because they both use population size and sample to analyze statistical data. The difference between these two procedures can be explained by the pattern of sample analysis.
When the sample is large, we tend to employ descriptive statistics; prediction may be used as well. Personal judgment can be used in a descriptive process because one can express his or her opinion on a problem from a personal point of view.
There are situations that will be difficult to solve using descriptive statistics or the samples may be closely related, thus, personal judgment may be the tool required for the completion of the statistical analysis. The use of some statistical procedures can change a life-threatening situation to a solution-based one.
For example, when an individual secures a job in an organization, the person would analyze the importance of the firm for his or her profession. This analysis would help to determine the salary of the individual, and would enable an individual to evaluate the lifespan of his or her stay in the organization.
This means that the individual has employed some statistical tools in deciding which job will be suitable for him or her. Statistical processes are used in our everyday life in solving various problems. Knowing the right tool to use will greatly influence the manner at with the problem is solved.
In ten years time from now my status in a firm will make me comfortable with the job description. I would be able to analyze the working condition in the firm using the salary structure as my sample, and then predict how the salary structure would help me solve my challenges. This analysis will determine my stay in the organization as well as my work efficiency.
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