Here is a sample data set. 308.1 310.3 339.7 348.1 390.5 393.6 399.7 408.1 427.8 427.8...
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Here is a sample data set. 308.1 310.3 339.7 348.1 390.5 393.6 399.7 408.1 427.8 427.8 427.8 428.5 434.5 436.4 436.9 437.5 442.7 453.1 453.6 453.6 465.7 476.2 481.7 513.4 517.9 518.5 520.1 522.2 523.3 526.3 568.7 586.9 595.1 353.5 386.4 410 418.3 428.9 437.7 440.1 433 461.1 461.2 482 500.2 507.5 519.9 519.9 519.9 557.1 559.4 616.2 618.8 630.4 Frequency 16 14 12 10 8 6 42 300 350 400 450 500 550 600 650 length (cm) Find the first quartile for this data set. Q = a 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. 308.1 310.3 339.7 348.1 390.5 393.6 399.7 408.1 427.8 427.8 427.8 428.5 434.5 436.4 436.9 437.5 442.7 453.1 453.6 453.6 465.7 476.2 481.7 513.4 517.9 518.5 520.1 522.2 523.3 526.3 568.7 586.9 595.1 353.5 386.4 410 418.3 428.9 437.7 440.1 433 461.1 461.2 482 500.2 507.5 519.9 519.9 519.9 557.1 559.4 616.2 618.8 630.4 Frequency 16 14 12 10 8 6 42 300 350 400 450 500 550 600 650 length (cm) Find the first quartile for this data set. Q = a 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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To find the first quartile Q1 for the given data set we need to arrange the data in ascending order ... View the full answer
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