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Chapter 2: Q. 2.46 (page 68)

For quantitative data, we examined three types of grouping: single-value grouping, limit grouping, and cut point grouping. For each type of data given, decide which of these three grouping types is usually best, Explain your answers.

a. Continuous data displayed to one or more decimal places

b. Discrete data in which there are relatively few distinct observations

Short Answer

Expert verified

(a) The best grouping method for the given data is Cut-point grouping.

(b) The best grouping method for the given data is Single value grouping.

Step by step solution

01

Part (a) Step 1: Given information

Continuous data displayed to one or more decimal places

02

Part (a) Step 2: Explanation

Take a look at the information provided.

Continuous data with one or more decimal places presented.

When the data is continuous and given in decimals, the cut-point method is used. Cut-point grouping is the optimum grouping strategy for the supplied data.

03

Part (b) Step 1: Given information

The best grouping method for the given data is Single value grouping.

04

Part (b) Step 2: Explanation

Take a look at the information provided.

Discrete data consists of a small number of distinct observations.

For discrete data with a small number of distinct values, the single value grouping method is useful.

As a result, single value grouping is the optimal grouping strategy for the supplied data.

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Most popular questions from this chapter

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