I personally feel this as a most confusing question. As per my understanding, if sample size is > 30, and sample is skewed, we can still use paramteric approach, as it will follow Z distribution based on central limit theoram. However, I am seeing many statisticians are suggesting to use non-paramteric approach if data is not normally distributed.

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