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Questions and Answers
What type of data is 'Gender' classified as?
What type of data is 'Gender' classified as?
What kind of data is 'The number of students in a class'?
What kind of data is 'The number of students in a class'?
What type of data is 'Hair color'?
What type of data is 'Hair color'?
What type of data is 'The speed of cars'?
What type of data is 'The speed of cars'?
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What type of data is 'Economic status: low, medium'?
What type of data is 'Economic status: low, medium'?
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Study Notes
Types of Data
- Data can be classified into two main categories: qualitative and quantitative data.
Qualitative Data
- Consists of non-numerical values that describe characteristics or attributes.
- Examples: gender (women, men), hair color (blonde, brown), ethnicity (Hispanic, Asian), letter grades (A, B, C).
Quantitative Data
- Consists of numerical values that can be measured and compared.
- Can be further divided into two subcategories: discrete and continuous data.
Discrete Data
- Consists of distinct, separate values that can be counted.
- Examples: number of students in a class, number of workers in a company, number of home runs in a baseball game.
Continuous Data
- Consists of values that can take on any value within a certain range or interval.
- Examples: height of children, square footage of a two-bedroom house, speed of cars.
Nominal Data
- A type of qualitative data that has no inherent order or ranking.
- Examples: gender, hair color, ethnicity.
Ordinal Data
- A type of qualitative data that has a natural order or ranking.
- Examples: first, second, and third grades.
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Description
Learn about the different types of data in statistics, including qualitative and quantitative data, and their subcategories. Understand the characteristics of each type with examples.
