Difference between Discrete and Continuous Data
Discrete data and continuous data both come under Quantitaive data and the differences between them is studied in the table added below,
|
Discrete Data |
Continuous Data |
|---|---|
| The type of data that has clear spaces between values is discrete data. | This information falls into a continuous series. |
| Discrete Data is Countable | Continuous Data is Measurable |
| There are distinct or different values in discrete data. | Every value within a range is included in continuous data. |
| Discrete Data is depicted using bar graphs | Continuous Data is depicted using histograms |
| Ungrouped frequency distribution of discrete data is performed against a single value. | Grouped distribution of continuous data tabulation frequencies is performed against a value group. |
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Data Types in Statistics
Data is a simple record or collection of different numbers, characters, images, and others that are processed to form Information. In statistics, we have different types of data that are used to represent various information. In statistics, we analyze the data to obtain any meaningful information and thus categorizing data into different types is very important. Data types in statistics help us to make an informed decision about what type of process is used to analyze the data.
Here, in this article, we will learn about types of data in statistics in detail, examples, and others in detail. Before learning about data let’s first learn about Data.
Table of Content
- What is Data?
- What are Types of Data in Statistics?
- Qualitative Data
- Quantitative Data
- Difference between Quantitative and Qualitative Data
- Difference between Discrete and Continuous Data
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