Here is a data set: 1030 1040 1040 1170 2010 1030 2060 1300 1030 930 1120 610 850 1020 1780 2340 1070 730 1050 560 1370 1580 2150 2070 860 2460 10 1000 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.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Here is a data set:
1030
1040
1040
1170
2010
1030
2060
1300
1030
930
1120
610
850
1020
1780
2340
1070
730
1050
560
1370
1580
2150
2070
860
2460
10
1000
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
Transcribed Image Text:Here is a data set: 1030 1040 1040 1170 2010 1030 2060 1300 1030 930 1120 610 850 1020 1780 2340 1070 730 1050 560 1370 1580 2150 2070 860 2460 10 1000 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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