A quality control engineer examines semiconductor chips, where defect counts follow a Poisson distribution. If the engineer incorrectly assumes defects are uniformly distributed, which consequence follows?

💡 Explanation

The probability calculation uses the wrong distribution; Poisson distributions exhibit heavier tails than uniform distributions, because conditional independence between defects is assumed, therefore, high-defect probabilities are underestimated rather than other predictions being improved or accurate.

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