Quantitative discrete data

Definition

Quantitative discrete data consists of numerical values that represent countable quantities. These values can only take on specific, distinct integers and not fractions or decimals.

5 Must Know Facts For Your Next Test

1. Quantitative discrete data values are countable and often result from counting processes.
2. Common examples include the number of students in a class or the number of cars in a parking lot.
3. This type of data is often represented using bar graphs or frequency tables.
4. Discrete data cannot take on every possible value within a range, unlike continuous data.
5. Statistical measures like mean, median, and mode can be used to analyze quantitative discrete data.

Review Questions

• What distinguishes quantitative discrete data from continuous data?
• Give two examples of situations where you would use quantitative discrete data.
• Which graphical methods are commonly used to represent quantitative discrete data?

Related terms

Quantitative Continuous Data: Numerical data that can take any value within a range, including fractions and decimals.

Categorical Data: Data that represents characteristics or attributes and can be divided into groups or categories.

Frequency Distribution: A table that displays the frequency of various outcomes in a sample.