Pitfalls to consider in a statistical test include nonrandom samples, small sample size, and lack of causal links.

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These are all common pitfalls in statistical testing that should be accounted for in order to ensure accurate and reliable results. Nonrandom samples can introduce bias, small sample sizes can yield unreliable or inconclusive results, and lack of causal links can make it difficult to draw meaningful conclusions from statistical analyses.

Pitfalls to Consider in a Statistical Test Include Nonrandom Samples