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Determining P value in Friedman test

5 years ago in PhD Concept paper By Pranav


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By Akash Answered 5 years ago

Friedman test ranks the values in each row.  As a result it is not affected by variability that equally impact all values in a row. This is determined using the P Value.


By Jasmin Answered 6 years ago

P value provides you answer to what is the probability that random sampling results in sum of ranks if the different columns are identical.      


By Ramesh Answered 6 years ago

If the P value is small, reject the idea that the differences between columns are due to random sampling.  If the P value is large, the data will not provide any reason to conclude that the overall medians differ. 


By Ramesh Answered 6 years ago

If the P value is small, reject the idea that the differences between columns are due to random sampling.  If the P value is large, the data will not provide any reason to conclude that the overall medians differ. 


By Ramesh Answered 6 years ago

If the P value is small, reject the idea that the differences between columns are due to random sampling.  If the P value is large, the data will not provide any reason to conclude that the overall medians differ. 


By Pravin Patel Answered 5 years ago

To calculate P value use Prism technique.  


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