I want to know more how we can conclude little difference between data analysis and interpretation.
Data analysis ans interpretation is done during the performance measure phase of the design unit or model. Performance measure leads to a typical procedure through which observations are made. Analysis is done on observed data to identify the trend or pattern. This trend or pattern gives useful information about the design or system. The trend identified will give the relationship between the dependent variable and the independent variable during the performance measure. The trend or pattern gives a way to compare variables and also seek the difference between variables. The analysis phase of the performance measure predicts the outcome and associates logical relationships.
Predicting the outcome, observing the output response ans associating meaning to that output is known as interpretation. Interpretation is making the numerical data (numbers) speak. Giving importance to language spoken by the numbers and providing appropriate and sufficient is useful during performance measure.
During performance measure if comparison is made, one can identify the similarity, difference or contrast between the chosen set of variables. Arriving at logical relationship facilitates to find a reason or come to a valid conclusion. Identifying the cause of the the performance measure increases the ability of the investigator to interpret the data.
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