Stata is a powerful statistical tool that has many statistical techniques and is excellent at developing superior-quality graphs. It is quick and simple to use. It is compatible to work with all OSs. The version that is used is Stata/IC, which has the capability to handle around 2047 variables. However, there is a special edition that can handle around 32766 variables. The version of the multicore processor is known as Stata/MP. The best thing is that STATA 16 is easier to install on 64-bit systems.
- STATA interface: There is a window where you can write the commands. There is a larger window next to it to view the results. You can track the commands by seeing the history. The properties window allows you to view the list of variables along with the datasets. The GUI is user-friendly from where you can select the commands.
- Typing commands: Stata will work like a calculator with the help of a display command. The commands are easier to abbreviate. The commands show the built-in functions to do the computations of the p-value. You can use the Page up key to resolve the command issue.
- Getting help: The online help offered by Stata is really helpful for beginners to experienced users. You can just type the command name to get the help you want. It shows the information in a separate window. If you do not have an idea about the command name, you can search for the command from the list.
- Loading a sample data file: There are a few sample files that are offered by Stata. The lifeexp.data has life expectancy data. If you want to load the file that you want to, it is good to use sysuse lifeexp.
- Descriptive statistics: You can run descriptive statistics with the help of summarising command. The action performed on the command would be stuck to the respective data subset.
- Drawing a scatter plot: If you want to know the life expectancy of the GNP per capita, it is good to draw the scatter plot using the command called a graph. This will have many sub-commands and options.
- Computing new variables: The new variables are easier to compute with the help of the “generate” command. It has a new variable and comes with the arithmetic expression. It is critical for you to choose the best variable.
- Simple linear regression: Linear regression is now run on the GNP per capita. The regress command will be used to predict the outcome. Stata will ignore the observations that miss the outcome or are used as a predictor.
- Post estimation commands: There are a lot of post-estimation commands offered by STATA. It also builds the results based on the model that is a perfect fit. Predict is the command used. This is used to generate various values and residuals due to regression.
- Plotting the data and a linear fit: The most common task that is performed is to superimpose a specific regression line on the scatter plot for inspecting the quality of the fit. The graph command will give the linear fit with the help of lfit plot type.
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User-friendly: STATA is user-friendly and all the functions, models and commands are easier for anyone to access through the dashboard and on the rich interface. The best thing is that the users who are using this software do not have to be experts. Exploration of data is also engaging. Stata users can have quick access to thousands of work samples.
- Speed: Stata has the capability to run many data samples at a time. The results of the samples would also be instant and easier to verify. People can access the output and you can even share them. It starts briskly without any lag.
- Accuracy: Stata users depend completely on accurate data. These people will have quick access to the commands and various methods that are essential for data sampling. The features are compliant and are legally approved to be used by the regulatory authorities. The gathering techniques and mechanisms are approved by the FDA.
- Easier to customise: It is easy for users to input the commands and functions. It is easy to customise tools and adjust them based on your research requirements.
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