Quantitative data

Quantitative data is a type of data that can be counted, measured, and expressed using numbers. It is often compared to qualitative data, which is descriptive and subjective. Quantitative data can be used in many fields, including medicine, sociology, psychology, and business.

Definition

Quantitative data refers to numerical information that can be measured or counted. It is often collected in research studies to provide statistical evidence. This type of data can be used to quantify attitudes, opinions, behaviors, and other defined variables.

Types of Quantitative Data

There are two types of quantitative data: discrete data and continuous data. Discrete data can only take certain values (for example, whole numbers) while continuous data can take any value within a range.

Discrete Data

Discrete data is numerical data that can only take certain values. Examples of discrete data include the number of patients in a hospital, the number of students in a class, or the number of times a particular event occurs.

Continuous Data

Continuous data is numerical data that can take any value within a range. Examples of continuous data include height, weight, temperature, or time.

Collection of Quantitative Data

Quantitative data is typically collected through surveys, experiments, or secondary data sources. The data is then analyzed using statistical analysis to draw conclusions or make predictions.

Uses of Quantitative Data

Quantitative data is used in a variety of fields, including medicine, sociology, psychology, and business. In medicine, it can be used to measure patient outcomes, in sociology to understand social trends, in psychology to measure attitudes and behaviors, and in business to understand market trends.

See Also

• Qualitative data
• Statistical analysis
• Data collection

Quantitative data Resources
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