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Interpretation of data in Research Methodology

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Analyzing and Interpreting Information

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Interpretation is the process of making sense of numerical data that has been collected, analyzed, and presented. A common method of assessing numerical data is known as statistical analysis, and the activity of analyzing and interpreting data in order to make predictions is known as inferential statistics.

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Interpretation of data in Research Methodology Interpretation of data refers to the task of drawing inferences from the collected facts after an analytical and/or experimental study. In fact, it is a search for broader meaning of research findings.

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Methodology chapter of your dissertation should include discussions about the methods of data analysis. You have to explain in a brief manner how you are going to analyze the primary data you will collect employing the methods explained in this chapter. There are differences between qualitative data. What is Interpretation and Report Writing in reasearch methodology? September 19, rsm After collecting and analyzing the data, researchers have completed the task of drawing inference Followed by the writing of the report.

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Interpretation of research data means drawing inference from the collected facts and computed statistics or test statistics. The task of interpretation has two major aspects;. The effort to establish continuity in research through linking the results of given study with those of others, and. RESEARCH METHODOLOGY: TOOLS AND TECHNIQUES Bridge Center 4. 5 COON NTTEENTTSS apply rigorous analysis. (viii) Research involves the quest for answers to un-solved problems. (ix) Research strives to be objective and logical, applying every.