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Determining P value in Friedman test
5 years ago in PhD Concept paper By Pranav
All Answers (6 Answers In All)
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.
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