Which Software is Suitable to use to Run a Data Test?
The analysis of data is a very wide subject, which at times comes with a set of challenges. Data analysis, in general, may be an area that you fully understand, however, when it comes to specific tests, that’s where the challenge comes in. Statistics has data analysis as one of its major aspects, not to mention that it is a difficult subject at its own level. This means that when doing the kind of tests on a given set of data, application of statistical knowledge is required. A good example of an analytical tool to use when comparing different autonomous groups when a contingent variable is constant is Mann Whitney U Test, which is very effective and efficient.
Limitations you may face when using Mann Whitney U Test
Using Mann Whitney U Test is a great idea since you will eventually obtain the best results; however, you also need to have it in mind that you may face various limitations.
- It is a tool that’s prone to human error, where lengthy calculations are involved
- It limits you from getting a clearer picture of why there is a difference
- In a case where data sets are not independent of each other, it may not be very appropriate to use
- When the sample size turns out to be below 5 or above 20, Mann Whitney U Test becomes less accurate
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