Here is a data set: 630 2070 1970 1590 1650 1290 930 1980 1480 2280 1290 1550 2700 390 1460 1630 1990 1470 320 270 2300 1580 1120 1400 1700 1790 1940 950 Data range 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 ts 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. Frequency

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Here is a data set:
630
1480 2280 1290
2070
1550
2700 390
1970
1460
1630 1990
1590 1650
1470
320
1290 270 2300 1580
1120
1400
1700
930
1980 1790
1940 950
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
Transcribed Image Text:Here is a data set: 630 1480 2280 1290 2070 1550 2700 390 1970 1460 1630 1990 1590 1650 1470 320 1290 270 2300 1580 1120 1400 1700 930 1980 1790 1940 950 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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Step 1: Given Information:
Data
630
1480
2280
1290
2070
1550
2700
390
1970
1460
1630
1990
1590
1650
1470
320
1290
270
2300
1580
930
1120
1400
1700
1980
1790
1940
950


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