Here is a data set: 809 600 791 696 855 703 734 712 556 628 939 491 641 820 598 590 700 644 579 534 559 839 714 781 642 877 491 637 Construct a grouped frequency distribution table (GFDT) for this...


Here is a data set:<br>809<br>600<br>791<br>696<br>855<br>703<br>734<br>712<br>556<br>628<br>939<br>491<br>641<br>820<br>598<br>590<br>700<br>644<br>579<br>534<br>559<br>839<br>714<br>781<br>642<br>877<br>491<br>637<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: 809 600 791 696 855 703 734 712 556 628 939 491 641 820 598 590 700 644 579 534 559 839 714 781 642 877 491 637 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.

Jun 11, 2022
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