SOLUTION: Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. A "nice" class width would be a nice to work with multiple

Question 1184338: Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. A "nice" class width would be a nice to work with multiple of 5. (5, 10, 20, 25, 50, ect.) Your classes should be labeled using interval notation. Since the data appears to be discrete, use a closed-interval to label each class. Each class should contain its lower class limit, and the lower class limits should all be multiples of the class width.
(Note: interval notation for closed intervals will take the following form "[number,number]")

Answer by CPhill(1959) (Show Source): You can put this solution on YOUR website!
To construct a grouped frequency distribution table (GFDT) with 10 classes and a "nice" class width for the given dataset, we need to determine the appropriate class width and class limits.
The range of the data is 140 (maximum) - 80 (minimum) = 60. To have 10 classes, a "nice" class width would be 10, as it is a multiple of 5 and divides the range evenly.
Starting with the lower limit of the first class as a multiple of the class width, we can choose 80 as the lower limit. The first class would then be, the second class, and so on.
The GFDT with 10 classes and a class width of 10 is as follows:
| Class Interval | Frequency |
|---|---|
| | 1 |
| | 0 |
| | 2 |
| | 3 |
| | 1 |
| | 2 |
| | 3 |
This GFDT provides a summarized view of the data, showing the frequency of tomato harvest counts within each class interval.
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