Here is a data set: 807 689 739 746 837 815 700 925 542 492 632 740 742 | 492 707 757 807 767 507 847 814 630 638 573 645 686 852 684 Construct a grouped frequency distribution table (GFDT) for this...


Here is a data set:<br>807<br>689<br>739<br>746<br>837 815<br>700<br>925<br>542<br>492<br>632<br>740<br>742 | 492<br>707<br>757<br>807<br>767<br>507<br>847<br>814<br>630<br>638<br>573<br>645<br>686<br>852<br>684<br>Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a<br>

Extracted text: Here is a data set: 807 689 739 746 837 815 700 925 542 492 632 740 742 | 492 707 757 807 767 507 847 814 630 638 573 645 686 852 684 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 contains its lower class limit, and the lower class limits should all be multiples of the class width. In that the data appears to be discrete, use a closed-interval to label each class. Data range Frequency

Jun 11, 2022
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