Quantitative discrete data

Definition

Quantitative discrete data consists of numeric values that represent counts and can only take on specific, distinct values. These values are typically obtained through counting rather than measuring.

5 Must Know Facts For Your Next Test

1. Quantitative discrete data can only take on certain fixed values, such as whole numbers.
2. Examples include the number of students in a class or the number of cars in a parking lot.
3. Quantitative discrete data is often visualized using bar charts or histograms with distinct bars.
4. Unlike continuous data, there are no intermediate values between any two discrete points.
5. This type of data is crucial for understanding distributions and frequencies in sample populations.

Review Questions

• What distinguishes quantitative discrete data from qualitative data?
• Give two examples of quantitative discrete data that you might encounter in daily life.
• How would you visually represent quantitative discrete data?

Related terms

Quantitative Continuous Data: Data that can take any value within a range and is typically obtained through measuring. Examples include height, weight, and temperature.

Qualitative Data: Non-numeric data that describes categories or groups. Examples include eye color, gender, and nationality.

Histogram: A graphical representation used to visualize the distribution of numerical data by showing bars at different intervals.