Here is a sample data set. 315.8 316.8 362.6 370.6 374.1 385.1 392.9 413.2 420.8 429.5...
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Here is a sample data set. 315.8 316.8 362.6 370.6 374.1 385.1 392.9 413.2 420.8 429.5 436.3 439.3 446.5 446.5 446.5 449.1 453 457.5 457.5 458.6 459 465.1 466.8 468.9 473.9 475.1 480.8 480.8 481.8 488.2 493 497.9 499.7 501.5 510.6 512.7 516.4 517.7 522.2 528.2 528.2 528.2 536.2 536.8 540.1 543.6 544.1 545.5 547.7 557.8 564.7 566.9 573.6 585.4 Frequency 16 14 NAGOÑA 10 300 350 400 450 500 550 600 length (cm) a Find the first quartile for this data set. Q₁ = Find the third quartile for this data set. Q3 = Find the interquartile range for this data set. IQR = Find the lower fence separating outliers from usual values. Fence low Find the upper fence separating outliers from usual values. Fence high Here is a sample data set. 315.8 316.8 362.6 370.6 374.1 385.1 392.9 413.2 420.8 429.5 436.3 439.3 446.5 446.5 446.5 449.1 453 457.5 457.5 458.6 459 465.1 466.8 468.9 473.9 475.1 480.8 480.8 481.8 488.2 493 497.9 499.7 501.5 510.6 512.7 516.4 517.7 522.2 528.2 528.2 528.2 536.2 536.8 540.1 543.6 544.1 545.5 547.7 557.8 564.7 566.9 573.6 585.4 Frequency 16 14 NAGOÑA 10 300 350 400 450 500 550 600 length (cm) a Find the first quartile for this data set. Q₁ = Find the third quartile for this data set. Q3 = Find the interquartile range for this data set. IQR = Find the lower fence separating outliers from usual values. Fence low Find the upper fence separating outliers from usual values. Fence high
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