| T O P I C R E V I E W |
| re_ol |
Posted - 12/12/2024 : 07:03:50 AM
Dear fellow users,
I would like to use the Mann-Kendall Test.
Could you please help me interpret the resulting table?
https://www.originlab.com/fileExchange/details.aspx?fid=677
For instance, based on the screenshot in the link above, what is the basis for stating, 'At the 0.05 level, the input data has a significant upward trend'?
Thank you in advance for your kind help. |
| 3 L A T E S T R E P L I E S (Newest First) |
| NadeeshaSupport |
Posted - 05/21/2025 : 09:35:08 AM
Hello,
You can review this link for more information about the Mann-Kendall Test.
https://vsp.pnnl.gov/help/vsample/design_trend_mann_kendall.htm
Under the Mann-Kendall test...
The null hypothesis: there's no monotonic trend
The alternative hypothesis: a monotonic trend is present
If the test rejects the null, that is p-value less than alpha, then there's evidence to suggest that a monotonic trend is present.
Best,
Nadeesha
|
| hunbieni |
Posted - 05/21/2025 : 06:03:48 AM
Could you explain how the p-value is calculated in the Mann-Kendall Test and what it indicates about the significance of the trend in the data? |
| NicholasSupport |
Posted - 12/12/2024 : 2:40:59 PM
Hello,
The Mann-Kendall Test is used to determine if data is monotonic, which is true of any dataset that either never increases or never decreases. I.e. a dataset that is monotonic either tends to go up, or it tends to go down. The M-K statistic is used to tell which direction the data is trending; if it is positive, the data is heading upward and if it is negative the data trends downward.
Since the test resulted in a p-value less than 0.05, the data is considered monotonic.
And, since the M-K statistic came out positive, the data's trend must be upward.
Best,
Nicholas G.
nicholas@originlab.com
OriginLab Technical Support Team |
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