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SECTION 12: CLASSIFYING AND ORGANISING DATA ACTIVITY 1: CATEGORICAL/NUMERICAL/DISCRETE/CONTINUOUS Explain each of the following terms and give appropriate examples (at least 2): 1. Categorical data 2. Numerical data 3. Discrete data 4. Continuous data

Ask by Chambers Park. in South Africa
Mar 18,2025

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**Categorical Data:** - **Definition:** Represents characteristics or qualities sorted into distinct groups or categories, with non-numeric values. - **Examples:** - Gender: Male, Female, Other - Colours: Red, Blue, Green **Numerical Data:** - **Definition:** Quantifies information using numbers, allowing arithmetic operations. - **Examples:** - Age: 25, 30, 45 - Test Scores: 85, 92, 78 **Discrete Data:** - **Definition:** Numerical data that can only take specific, countable values. - **Examples:** - Number of Students: 25, 30, 32 - Number of Books: 10, 15, 20 **Continuous Data:** - **Definition:** Numerical data that can take any value within a range, including fractions or decimals. - **Examples:** - Height: 170.5 cm, 182.3 cm - Temperature: 22.5°C, 23.67°C

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Categorical data refers to information that can be divided into distinct categories or groups. Think of it like sorting your favorite ice cream flavors—vanilla, chocolate, and strawberry. Another example could be the types of pets, such as dogs, cats, and birds. These categories do not have a numerical value but simply represent different characteristics. Numerical data consists of values that are measurable and express a quantity. It can be further divided into discrete and continuous data. For instance, the number of students in a class (25) represents discrete numerical data. An example of continuous numerical data would be the height of those students, which can be any value within a range, like 150.5 cm.

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