Answer- B. To determine outliarsDixon's Q test, or simply the Q test, is used for identification and rejection of outliers.In statistics, an outlier is an observation point that is distant from other observations.An outlier may be due to variability in the measurement or it may indicate experimental errorOutliers can occur by chance in any distribution, but they are often indicative either of measurement error or that the population has a heavy-tailed distribution.This test should be applied sparingly and never more than once to a single data set.
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