Which data type can take infinitely many values between any two measurements and often involves decimals?

Which data type can take infinitely many values between any two measurements and often involves decimals?

• A. Discrete data
• B. Nominal data
• C. Ordinal data
• D. Continuous data

Answer: (D)

The main idea is that some data can form a continuous spectrum, meaning there are infinitely many possible values between any two measurements. On a continuous scale, you can always measure more precisely, so values can be decimals or fractions. For example, height could be 170 cm, 170.1 cm, 170.12 cm, and so on, with no smallest nonzero gap between values. This is what makes a data type continuous. Discrete data, by contrast, counts whole units and has gaps between possible values. You might count visits or the number of medications, which are not fractional numbers of visits. Nominal data are categories without a natural order, like blood type. Ordinal data have order but the intervals between steps aren’t necessarily equal, like a pain scale from mild to severe. Because of its ability to take any value along a continuum and include decimals, continuous data fits this description best.

The main idea is that some data can form a continuous spectrum, meaning there are infinitely many possible values between any two measurements. On a continuous scale, you can always measure more precisely, so values can be decimals or fractions. For example, height could be 170 cm, 170.1 cm, 170.12 cm, and so on, with no smallest nonzero gap between values. This is what makes a data type continuous.

Discrete data, by contrast, counts whole units and has gaps between possible values. You might count visits or the number of medications, which are not fractional numbers of visits. Nominal data are categories without a natural order, like blood type. Ordinal data have order but the intervals between steps aren’t necessarily equal, like a pain scale from mild to severe.

Because of its ability to take any value along a continuum and include decimals, continuous data fits this description best.