Quantitative data

Definition

Quantitative data consists of numerical values that represent counts or measurements. It can be analyzed using various statistical methods and is often visualized through graphs and charts.

5 Must Know Facts For Your Next Test

1. Quantitative data can be discrete (countable) or continuous (measurable).
2. It allows for mathematical operations such as addition, subtraction, and averaging.
3. Common graphical representations include histograms, scatter plots, and box plots.
4. Descriptive statistics like mean, median, mode, variance, and standard deviation are used to summarize quantitative data.
5. Inferential statistics techniques such as hypothesis testing and regression analysis are applied to draw conclusions from quantitative data.

Review Questions

• What distinguishes discrete quantitative data from continuous quantitative data?
• Name three types of graphs commonly used to represent quantitative data.
• What descriptive statistics can be used to summarize a dataset of quantitative data?

Related terms

Discrete Data: A type of quantitative data that takes on specific values and cannot be made more precise; often counts of items or events.

Continuous Data: A type of quantitative data that can take any value within a given range; often measurements that can be infinitely divided into smaller parts.

Descriptive Statistics: Statistical techniques used to describe and summarize the main features of a collection of data quantitatively.