With regard to grouping quantitative data into classes in which each class represents a range of possible values, 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 are single-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 whole numbers, while cutpoint grouping is best used when the data are continuous and are expressed with decimals. B. The methods are single-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 distinct values, while limit grouping is best used when there are a large number of distinct values. C. The methods are limit grouping and cutpoint grouping. Both methods can be used when there are too many distinct values to employ single-value grouping. Limit grouping is best used when the data are discrete and are expressed as whole numbers, while cutpoint grouping is best used when the data are continuous and are expressed with decimals. D. The methods are limit grouping and cutpoint grouping. Both methods can be used when there are too many distinct values to employ single-value grouping. Limit grouping is best used when the data are continuous and are expressed with decimals, while cutpoint grouping is best used when the data are discrete and are expressed as whole numbers.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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With regard to grouping quantitative data into classes in which each class represents a range of possible values, 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.

The methods are single-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 whole numbers, while cutpoint grouping is best used when the data are continuous and are expressed with decimals.

The methods are single-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 distinct values, while limit grouping is best used when there are a large number of distinct values.

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

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

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