Question: The p-value indicates whether the observed correlation is statistically significant (likely not due to chance). p < 0.05: Statistically significant correlation. Example Interpretation: Assuming the

The p-value indicates whether the observed correlation is statistically significant (likely not due to chance). p < 0.05: Statistically significant correlation. Example Interpretation: Assuming the calculated correlation is -0.452 and p-value is 0.001, the interpretation would be: "There is a moderate negative and statistically significant correlation (p < 0.05) between life satisfaction before treatment (SWLS_pre) and fear/avoidance symptoms before treatment (Fear_pre). This means that higher life satisfaction before treatment is associated with lower levels of fear/avoidance symptoms, but the strength of this association is moderate." Remember to replace "your_data.csv" with the actual filename of your data. This analysis provides a concise and informative way to explore the relationship between the two variables. report the mean difference in Fear_pre score between the groups (noting which group is higher/lower), and the results of the statistical test (in APA style), including a stat block and effect size

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