Homework Help Overview
The discussion revolves around calculating a p-value for the correlation between two non-parametric data groups, specifically focusing on the use of Pearson's correlation coefficient and its appropriateness given the nature of the data.
Discussion Character
- Exploratory, Assumption checking, Problem interpretation
Approaches and Questions Raised
- The original poster attempts to calculate a p-value for the correlation between two groups using Pearson's coefficient, despite noting that the data is non-parametric. Some participants question the appropriateness of using Pearson's correlation and suggest considering Spearman's correlation instead. There are inquiries about the sample size and the type of data involved, as well as discussions about the possibility of using a Student's T-test for p-value prediction.
Discussion Status
Participants are exploring the implications of using parametric versus non-parametric methods for correlation analysis. There is a recognition that more information about the data set is necessary to recommend an appropriate statistical test. Some guidance has been offered regarding the use of Spearman's correlation and the need for clarity on the experimental design.
Contextual Notes
The original poster has indicated that both groups consist of 35 continuous samples, which raises questions about the validity of using parametric tests in this context. The discussion also touches on the original poster's familiarity with calculating p-values for differences between groups, contrasting with their uncertainty regarding correlation.