How can I validate my statistical results?
You can validate your statistical results by checking assumptions, using cross-validation, and conducting sensitivity analyses.
What assumptions should I check?
Common assumptions include normality, homoscedasticity, and independence of observations. You can use tests like Shapiro-Wilk for normality.
What is cross-validation?
Cross-validation is a technique to assess how the results of a statistical analysis will generalize to an independent dataset.
Can you explain sensitivity analysis?
Sensitivity analysis examines how the variation in the output of a model can be attributed to different variations in the input.
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