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Descriptive Statistical Analysis: Your Effective Guide

descriptive statistical analysis

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Researchers will use various tools as they seek information from data sets. Quantitative analysis as well as exploratory data analysis tukey or quantitative descriptive analysis is something that is frequently used in all areas of science and business as well. One of the core statistical analysis tools involves descriptive statistics. It is a fundamental form of analysis that provides considerable information.

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Descriptive Statistical Analysis Defined

The name says it all. Descriptive statistics will tell you what is revealed in the data. The analysis revolves around the derived sample and what is measured. Large amounts of data are the order of the day in the society. Data mining is something that is done on a routine basis, particularly in e-commerce. Some of the more common terms associated with descriptive statistics including central tendency, distribution, mode, and standard deviation. These are ways to explain what is sometimes hidden in mountains of information.

Descriptive Analysis in Research

People will point out that there are some limitations to descriptive statistical analysis. You are limited to that set of data that is undergoing analysis. The only conclusions that can be drawn are based on the information at hand. It makes it very difficult to reach conclusions about a general hypothesis based on descriptive statistics alone. That does not mean it has no value for research.

It can provide a picture into a large group of people in a set. That could be the population of a given grade in the entire school district. When it comes to test scores descriptive statistics can give the median score as well as the spread. Some areas of research to not require highly sophisticated analytical tools. If a company wants to find out the likes or dislikes of its customer base, it can use descriptive statistics to analyze that particular population. It may not provide information to induce people to become customers because of the data set limitations. However, any strategy that targets customer retention can be aided by the results that are provided through descriptive statistics. You can better hold on to loyal customers as a consequence.

This can hold true in other areas where a given population’s characteristics, or attitudes needs to be assessed. Referring back to business, decision-makers can hardly understand some of the more sophisticated nuances various forms of statistical analysis. Explanations have to be graphic and easy to understand. This is where descriptive statistics can prove to be extremely useful. The terminology is very easy to grasp and can be shown quickly with pie charts and graphs. Decision-makers in business don’t always have the time go deep into research papers. Answers are important and have to be readily available. Descriptive statistical analysis can fit that order nicely.

This form of analysis can be extremely useful with large amounts of data and is a cornerstone of interpreting statistical information. Education and business both are in states of rapid evolution. Primary and secondary education has become absorbed with all forms of testings for competency. The descriptive statistics can allow you to have a guide as to how the students are performing. Business needs to please its customer base. This form of analysis, can better identify what repeat customers want to see.

While not as sophisticated as some other tools, descriptive statistics still has considerable value for both research and for decision-makers!