Examples of continuous data include weight, height, length, time, and temperature. Frequently, you’ll use histograms and scatterplots to graph continuous data. These graphs are designed to …

Jul 23, 2025 · Two fundamental types of variables are discrete and continuous variables. Discrete variables have distinct, separate values with gaps between them, while continuous variables …

Oct 21, 2023 · Continuous data refers to data that can take on an infinite number of values within a given range. This data can generally be divided into fractions and decimals (Christman & …

Data can be descriptive (like high or fast) or numerical (numbers). Discrete data can be counted, Continuous data can be measured.

Dec 2, 2025 · You can use continuous and discrete data across many data-centric professions, including health care, finance, and economics. Discrete data can only take on specific, …

Jul 3, 2025 · Continuous data, on the other hand, represents measurable quantities that can take on any value within a given range. Unlike discrete data, there are no gaps between possible …

Continuous data refers to a type of quantitative data that can take on an infinite number of values within a given range. This data type is characterized by its ability to be measured and …

Jun 22, 2024 · The primary difference, though, between discrete and continuous data is that discrete data is a finite value that can be counted whereas continuous data has an infinite …

Continuous data can take on any value as it’s measured. For example: Your weight. Your weight can be any weight within the range of human weights. Your weight is not a specific fixed …

Continuous data refers to numerical information that can take on any value within a given range, allowing for infinite possibilities. This type of data is often measured, rather than counted, and …