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Questions and Answers
What type of data is 'Gender' classified as?
What kind of data is 'The number of students in a class'?
What type of data is 'Hair color'?
What type of data is 'The speed of cars'?
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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.
