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D Here is a data set: O h = ohm.lumenlearning M 512 482 609 611 593 519 568 522 600 580 602 615 526

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D Here is a data set: O h = ohm.lumenlearning M 512 482 609 611 593 519 568 522 600 580 602 615 526 553 525 630 523 677 580 528 581 598 651 634 577 565 559 604 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. Your classes should be labeled using interval notation. Each class should contain its lower class limit and each sequential lower class limit should increase by increments of the class width. In that the data appears to be discrete, use a closed-interval to label each class. Data range Frequency

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