identify which type of non parametric method of estimation is best suited for this type of data that is PTS score

To identify the best non-parametric method of estimation for PTS score data, we need to consider the nature of the data. Non-parametric methods are typically used when the data does not follow a known or normal distribution.

1. Understand the Data: First, we need to understand the nature of the PTS score data. Is it ordinal, nominal, interval or ratio? Is it skewed? Are there outliers?

2. Choose the Method: Once we understand the data, we can choose the appropriate non-parametric method.

   • If the data is ordinal or nominal, methods like Chi-square test, Fisher's exact test, or McNemar's test can be used.

   • If the data is interval or ratio, and we are comparing two or more groups, we can use methods like Mann-Whitney U test, Kruskal-Wallis test, or Friedman test.

   • If we are looking for correlation, Spearman's rank correlation or Kendall's tau can be used.

3. Apply the Method: After choosing the method, apply it to the data to estimate the parameters.

4. Interpret the Results: Finally, interpret the results based on the chosen method.

Remember, the choice of method depends on the nature of the data and the specific research question or hypothesis you are testing.