Quantitative Data (Numerical Data)
Quantitavive Data is the type of the data that represents the numerical value of the data. They are also called the Numerical Data. This data type is used to represent the height, weight, length and other things of the data. Quantitative data is further classified into two categories that are,
- Discrete Data
- Continuous Data
Discrete Data
Discrite data type is a type of data in statistics that only uses Discrete Value or Single Values. These data types have values that can be easily counted as whole numbers. The example of the discreate data types are,
- Height of Students in a class
- Marks of the students in a class test
- Weight of different members of a family, etc.
Continuous Data
Continuous data is the type of the quantitative data that represent the data in a continuous range. The variable in the data set can have any value between the range of the data set. Examples of the continuous data types are,
- Temperature Range
- Salary range of Workers in a Factory, etc.
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
Contact Us