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The Q-test is a statistical method used to identify outliers in a data set. It calculates a test statistic based on the range of the data and the suspected outlier, comparing it to a critical value from the Q distribution. If the calculated Q value exceeds the critical value, the suspected outlier can be considered statistically significant and may be excluded from further analysis. This test is commonly applied in fields like chemistry and environmental science where precise measurements are crucial.
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