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Stata/MP lets you analyze data in one-half to two-thirds the time compared with Stata/SE on inexpensive dual-core laptops and in one-quarter to one-half the time on quad-core desktops and laptops. Stata/MP runs even faster on multiprocessor servers. Stata/MP supports up to 64 cores/processors.
Speed is often most crucial when performing computationally intense estimation procedures. A few of Stata’s estimation procedures, including linear regression, are nearly perfectly parallelized, meaning they run twice as fast on two cores, four times as fast on four cores, eight times as fast on eight cores, and so on. Some estimation commands can be parallelized more than others. Taken at the median, estimation commands run 1.8 times faster on 2 cores, 3.1 times faster on 4 cores, and 4.2 times faster on 8 cores.
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Speed can also be important when managing large datasets. Adding new variables is nearly 100 percent parallelized, and sorting is 75 percent parallelized.
Some procedures are not parallelized and some are inherently sequential, meaning they run the same speed in Stata/MP.
For a complete assessment of Stata/MP’s performance, including command-by-command statistics.
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Stata is a software package designed to perform a variety of data analyses. NGOs commonly use it, and in the realm of academia, it is used in a variety of disciplines.
User-friendly statistical analysis
Some of the things users can do with Stata include organizing data, a variety of statistical analyses, and making regression models.
Stata is a statistical software package that was created for general use. It is common to find people using this product if they are apart of an NGO or doing a study related to the social sciences.
This statical analysis program has multiple strengths. For starters, the learning curve isn’t as steep as it is with other similar products. If you need help with Stata, there is support given in over 13 languages, including Hindi, Russian, and Spanish. This program is one of the easiest to use when it comes to performing analysis on datasets on one table. Finally, graphs are not only easy to create in this software, but there is a built-in graph editor which allows you to change colors, axis labels, scale, pretty much anything on the graph.
This program does have some quirks to it. The program works well with only one data table. If you try to do analysis involving multiple tables, it is possible, but it’s a fairly complicated process. Another issue is this program doesn’t have a lot of data packages pre-installed, as similar software does. A-pdf password security serial key.
Where can you run this program?
In addition to Windows, Linux, and Mac operating systems, this product is also available in a web browser.
Is there a better alternative?
Yes R, SAS, MatLab, and SPSS are better than Stata because the scope of what Stata can do is fairly limited. All the other alternatives allow its users to work off of multiple datasheets, which is something lacking in Stata.
Our take
This software is good for people just starting to get into more advanced statistical analysis, and it doesn’t have a steep learning curve when compared to similar products.
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Should you download it?
No. Unless you are just starting out with analysis, it’s an easy to use statistical package, but it is really only a step above Microsoft Excel. There are better options.
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