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Three methods-writing classes using limits, using the less-than method, and grouping data using single-valued classes-were discussed to group quantitative data into classes. Explain these three methods and give one example of each.

Short Answer

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1. Writing classes using limits involves defining classes with a lower and upper boundary, such as student score ranges 0-50, 51-80, and 81-100. 2. The less-than method groups data that is 'less than' certain values, such as categorizing employees who earn less than $50k, $100k, and $150k. 3. Grouping data using single-valued classes uses discrete data points to create classes. For instance, in grades, the classes could be A, B, C, etc.

Step by step solution

01

Explain Writing Classes Using Limits

A method known as 'writing classes using limits' is often used in statistics to categorize data. Classes are defined by a lower and an upper limit. For instance, in a data set that contains student test scores, one might use score ranges such as 0-50, 51-80, 81-100 to categorize the students based on their performance.
02

Explain Using Less-Than Method

In the 'less-than method', data is grouped by classifying it based on a standard that it is 'less than' a particular value. For example, in a company, classifying employees who earn less than $50k, those who earn less than $100k, and those earning less than $150k.
03

Explain Grouping Data Using Single-Valued Classes

The method of 'grouping data using single-valued classes' involves using discrete data points to make classes. Each class comprises only one value. For example, in grading system data, classes could be the different letter grades that the students can receive such as A, B, C etc.

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