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Well, both of them have their own unique style and their own strengths and weaknesses. Instead of providing you a biased perspective, we have presented both statistical analysis tools in a factual manner.
STATA: This statistical tool is mainly used by beginners as it is easy to learn and has options like one line commands. Along with this, the key benefit of this tool is it diagnoses errors easily and amend them quickly. Some users believe STATA is better as it has simple yet powerful data management commands which permits them to perform complicated manipulations of their data with relative ease. One major drawback of this tool is it works with one data file at a time not multiple.
SAS: this statistical analysis tool is mainly used by power users. In comparison with STATA, it is considered as difficult to learn. SAS has complex programming like it first involves writing the SAS program then manipulating the data to perform their analysis. That's why errors are difficult to analyze and correct. The major advantage is it can work on numerous data files altogether. SAS comes with the most powerful graphic tools which are indeed very effective but they are also tricky to learn and understand.
So, it totally depends on the user which statistical analysis tool is better handled by him in a particular situation.
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