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Stata is one of the oldest statistical software tools on the block. Written in C, Stata is relatively easy to learn with intuitive features and lucid GUI. So naturally, it finds prominent usage in the academic field and is a favourite among students. However, the biggest problems with Stata assignments stem from knowledge limitations, challenging topics, and difficulties with problem-solving.
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Frequently Asked Question By Students
Q.1. What Are File Types Usually Related With STATA?
Ans.: Stata can import data from a wide variety of files such as .xlsx files, SAS XPORT files, ODBC data sources, XML files, delimited .txt files.
Q.2. What Is STATA Software?
Ans.: Stata is a proprietary software application suite for statistical data analysis. It offers loads of powerful features, libraries and functionalities for data analysis, manipulation, visualisation and much more.
Q.3. What are the Machine Learning Techniques Used in Stata?
Ans.: LASSO, Support Vector Machines, Linear & Logistic Regression, Principal Component Analysis, Regression Trees, Boosted Regression, Random Decision Forests- these are some prominent machine learning techniques one can employ using Stata.
Q.4 What are the Key Feature of Stata?
Ans.: A vast array of statistical analysis features, automated report making, easy integration with Python, advanced programming features, cross-platform compatibility, easy automation, and superb data management features- these are the most prominent features of Stata.
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