What is the importance of statistical treatment in research?

Statistical treatment of data is essential in order to make use of the data in the right form. Raw data collection is only one aspect of any experiment; the organization of data is equally important so that appropriate conclusions can be drawn. This is what statistical treatment of data is all about.

Why do we need statistical tool?

The data and the use of statistics provide the tool to decide. It gives a solid foundation on which to base decision, big or small. It is extremely important for a researcher to know what statistics they want to use before they collect their data. Otherwise data may be collected that is unusable.

What are the statistical techniques used in research?

Two main statistical methods are used in data analysis: descriptive statistics, which summarize data from a sample using indexes such as the mean or standard deviation, and inferential statistics, which draw conclusions from data that are subject to random variation (e.g., observational errors, sampling variation).