Quantitative data refers to data that can be measured and expressed numerically. This type of data is used to quantify the characteristics or phenomena being studied and can be analyzed mathematically. Quantitative data can be categorized into two main types:
- Data that can only take specific, distinct values.
- Often counts of items or occurrences.
- Examples: The number of students in a class, the number of cars in a parking lot, or the number of goals scored in a match.
- Data that can take any value within a given range.
- It is measured and can include fractions or decimals.
- Examples: Height, weight, temperature, or time.
Characteristics of Quantitative Data:
- Measurable: Can be measured and expressed in numbers.
- Mathematical operations: You can perform mathematical operations like addition, subtraction, multiplication, or division.
- Statistical analysis: This data can be used to perform various types of statistical analyses such as mean, median, mode, standard deviation, and correlation.
Examples:
- Age: 25 years (continuous, as it can take any value)
- Temperature: 36.5°C (continuous)
- Number of books: 100 (discrete)
- Income: $45,000 (continuous)
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