with sample sizes up to 80, each score with z-score≥2.50 or z-score≤-2.50 should be identified as outliers.
z1=(x-μ)/σ= (148-128.5)/8.2=2.378
z2=(102-128.5)/8.2=-3.23, -3.23≤-2.5 - outlier
z3=(152-128.5)/8.2=2.86, 2.86≥2.50 - outlier
average of the extracted scores that are outliers - (102+152)/2=127
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