Here is a data set: 549 406 487 518 445 620 378 468 558 525 499 521 444 479 537 486 491 411 545 549 529 489 484 448 448 556 532 431 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

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Here is a data set:
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
[378,402]
403,427]
428,452]
453,477]
[478,502]
[503,527]
[528,552]
[553,577]
[578,602]
[603,627]
X
X 2
X 5
X
Frequency
1
X 1
X
X 3
7
X
X 2
6 X
X 0
549
406
487
518
445
620
378 468
558 525
499
521
444 479
537
486
491 411
545
549
529 489 484
448
448 556 532
431
X
Transcribed Image Text:Here is a data set: 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 [378,402] 403,427] 428,452] 453,477] [478,502] [503,527] [528,552] [553,577] [578,602] [603,627] X X 2 X 5 X Frequency 1 X 1 X X 3 7 X X 2 6 X X 0 549 406 487 518 445 620 378 468 558 525 499 521 444 479 537 486 491 411 545 549 529 489 484 448 448 556 532 431 X
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