With regard to grouping quantitative data into classes in which each class represents a range of possiblevalues, there are two methods for depicting the classes. Identify the two methods and explain the relative advantages and disadvantages of each method.

Identify the two methods and explain the relative advantages and disadvantages of each method.

A.

The methods aresingle-value grouping and cutpoint grouping. Both methods can be used when there are only a small number of distinct values.Single-value grouping is best used when the data are expressed as wholenumbers, while cutpoint grouping is best used when the data are continuous and are expressed with decimals.

B.

The methods are limit grouping and cutpoint grouping. Both methods can be used when there are too many distinct values to employsingle-value grouping. Limit grouping is best used when the data are discrete and are expressed as wholenumbers, while cutpoint grouping is best used when the data are continuous and are expressed with decimals.

C.

The methods are limit grouping and cutpoint grouping. Both methods can be used when there are too many distinct values to employsingle-value grouping. Limit grouping is best used when the data are continuous and are expressed withdecimals, while cutpoint grouping is best used when the data are discrete and are expressed as whole numbers.

D.

The methods aresingle-value grouping and limit grouping. These methods can only be used when the data are discrete.Single-value grouping is best used when there are a small number of distinctvalues, while limit grouping is best used when there are a large number of distinct values.