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Given in the question that the gas mileages, are rounded to the nearest number of miles per gallon, of all new car models.

Single-value grouping:

To group quantitative data, employ classes in which each class represents a single possible value; these classes are known as single-value classes, and single-value grouping is the way of grouping quantitative data.

Limit grouping:

To group quantitative data, class limits are used. Each class is made up of a number of different values. The lower limit of the class is the smallest value that can be entered, and the upper limit of the class is the highest value that may be entered. Limit grouping is a method of categorising quantitative data.

Cut-point grouping:

To group quantitative data, utilise class cut-points, which consist of a range of values for each class. The lower cut-points of a class are the smallest values that could fit in the class, while the upper cut-points of the class are the smallest values that could fit in the next higher class.

Cut-point grouping is a way of categorising quantitative data using cut-points.

Consider the following scenario.

All new automobile models' gas mileages are rounded to the nearest number of miles per gallon.

The nearest number of miles per gallon of cars may not be too far apart, and the values cannot be given in whole numbers, but they can be expressed in decimals.