What can be determined about this data set before finding the range or the interquartile range? 19, 25, 35, 38, 41, 49, 50, 52, 99
2 answers:
Given: <span>19, 25, 35, 38, 41, 49, 50, 52, 99 Just upon looking at the data set, I can determine that there is an OUTLIER. An outlier is a point that is distant from other points. The outlier in this data set is number 99. These data set has the following five number summary: 1) minimum number - 19 2) 1st quartile - 30 3) 2nd quartile or median - 41 4) 3rd quartile - 51 5) maximum number - 99 Interquartile range = q3 - q1 </span>→ 51 - 30 = 21 To determine if an observation point is an outlier, we need to determine the lower fence and the upper fence. lower fence = q1 - 1.5(iqr) lower fence = 30 - 1.5(21) → 30 - 31.5 = -1.5 upper fence = q3 + 1.5(iqr) upper fence = 51 + 1.5(21) → 51 + 31.5 = 82.50 Any number outside the lower fence, -1.5, and upper fence, 82.50, is an OUTLIER. 99 is beyond the upper fence. Thus, it is an outlier.
The data has an outlier, but the interquartile range will not change. The answer is c
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