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SID: 1136857 MOD001302Distance Learning Attempt 1 ANGLIA RUSKIN UNIVERSITY Assignment Cover sheet Student Number: 1136857/1 FACULTY of Health, Social Care and Education ASSIGNMENT DETAILS Module Code

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How to fill out non-parametric mann-kendall test topics

01

To fill out non-parametric Mann-Kendall test topics, follow these steps:

02

Gather your data: Collect the data for which you want to perform the Mann-Kendall test.

03

Arrange data: Arrange the data in chronological order. The order of the data points is crucial for the test.

04

Calculate differences: Calculate the differences between consecutive data points. These differences will be used in further calculations.

05

Assign ranks: Assign ranks to the differences calculated in the previous step. The smallest difference gets rank 1, the second smallest gets rank 2, and so on.

06

Calculate tau: Find the sum of the ranks and calculate Tau, which is a measure of association between the ranks and the corresponding data values.

07

Calculate p-value: Calculate the p-value associated with the calculated Tau value. This p-value will indicate the significance of the trend detected by the Mann-Kendall test.

08

Interpret the results: Analyze the p-value and determine whether the trend in the data is statistically significant. A low p-value suggests a significant trend.

09

Report the findings: Write a report summarizing the results of the Mann-Kendall test, including the calculated Tau value, the p-value, and the interpretation of the trend observed in the data.

Who needs non-parametric mann-kendall test topics?

01

Non-parametric Mann-Kendall test topics are needed by researchers, statisticians, and data analysts who want to analyze the trend or the presence of monotonicity in a dataset.

02

This test is especially useful when the data does not meet the assumptions of parametric tests, such as normality or linearity. Non-parametric tests like the Mann-Kendall test provide a robust alternative.

03

Applications of the non-parametric Mann-Kendall test topics can be found in various fields, including environmental sciences, hydrology, climatology, economics, and epidemiology.

04

Researchers studying climate change, water quality, time series data, and trends over time often use the Mann-Kendall test to identify and analyze significant trends.

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