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(c) Construct a comparative boxplot, and use it as a basis for comparing and contrasting the ED and Non-ED samples. ED ED * ED Non

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(c) Construct a comparative boxplot, and use it as a basis for comparing and contrasting the ED and Non-ED samples. ED ED * ED Non Non Non ED ED ED 0 5 10 15 20 0 5 10 15 20 0 5 10 15 20 Cocaine Concentration (mg/L) Cocaine Concentration (mg/L) Cocaine Concentration (mg/L) O O 0 ED MK 2x 2t Non- ED 0 5 10 15 20 Cocaine Concentration (mg/L) Blood cocaine concentration (mg/L) was determined both for a sample of individuals who had died from cocaine-induced excited delirium (ED) and for a sample of those who had died from a cocaine overdose without excited delirium; survival time for people in both groups was at most 6 hours. The accompanying data was read from a comparative boxplot in an article. ED 0 0 0 0 0.1 0.1 0.1 0.1 0.2 0.2 0.3 0.3 0.4 0.5 0.7 0.8 1 1.4 2.8 2.9 3.4 4.0 8.7 9.1 11.7 21.0 Non-ED O 0 0 0 0 0.1 0.1 0.1 0.1 0.2 0.2 0.2 0.3 0.3 0.3 0.4 0.5 0 .5 0.6 0.8 0.9 1.0 1.2 1.4 1.5 1.7 2.0 3.2 3.5 4.1 4.3 4.8 5.0 5.6 5.9 6.0 6.2 7.9 8.3 8.7 9.3 9.8 9.9 11.0 11.5 12.2 12.7 14.0 16.6 17.8 (a) Determine the median, fourths, and fourth spread for the ED sample. median 0.4 lower fourth upper fourth fourth spread Determine the median, fourths, and fourth spread for the Non-ED sample. median lower fourth upper fourth fourth spread (b) Are there any outliers in the ED sample? Any extreme outliers? O There are two extreme outliers and several mild outliers. O There are several extreme outliers. O There are two extreme outliers and two mild outliers. There are no extreme outliers but several mild outliers. O There are no mild outliers or extreme outliers. Are there any outliers in the Non-ED sample? Any extreme outliers? O There are two extreme outliers and several mild outliers. O There are several extreme outliers. O There are two extreme outliers and two mild outliers. O There are no extreme outliers but several mild outliers. There are no mild outliers or extreme outliers. Search 9:35 AM 3/8/2023

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