Data Analysis in instrumental in research. Descriptive statistics is used in the analysis of quantitative data.
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Descriptive statistics are important because,in a professional research this point is very important that ,how is our sample size structure and advanced statistical methods without the descriptive statistics is meaningless in addition in some times significant of the compare analyze really is dependent to those category of the statistics.
Research is based on making obesrvations and to identify interesting structures and patterns. Descriptive statsistics is a huge collection of methods to structure and handle observational data to enable us to recognise such structures and patterns. Therefore descriptive statistics is the most important toolbox for an empirical scientist.
Descriptive statistics is the term given to the analysis of data that helps describe, show or summarize data. They are simply a way to describe our data.
Descriptive statistics summarizes the data sets into averages, mode, sums and more importantly into visual displays such graphs, histograms, scatter plots etc. The advantages with descriptive statistics is that it enables a researcher to describe trends, patterns of the observed or collected data. Some times, it gives guidance to the researcher of which statistical test to use in order to conclude on the hypothesis.
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