Continuous data are data that can assume any value along a continuous scale.

Continuous data are data that can assume any value along a continuous scale.

• A. Data that are measured in whole units
• B. Data that can assume any value along a continuous scale
• C. Data that represent categories
• D. Data that are counted as whole numbers

Answer: (B)

Continuous data are data that can assume any value along a continuous scale, meaning they can take on fractions and decimals within a range. This includes measurements like height, weight, time, and temperature, where values can be interpolated between points. The key idea is that there isn’t a limited set of separated values—there's an infinite continuum between any two values. In contrast, data measured in whole units or counted as whole numbers are discrete, since only specific whole values are possible. Data that represent categories are qualitative and don’t lie on a numerical scale. So the description that fits continuous data is that they can take any value along a continuous scale.

Continuous data are data that can assume any value along a continuous scale, meaning they can take on fractions and decimals within a range. This includes measurements like height, weight, time, and temperature, where values can be interpolated between points. The key idea is that there isn’t a limited set of separated values—there's an infinite continuum between any two values. In contrast, data measured in whole units or counted as whole numbers are discrete, since only specific whole values are possible. Data that represent categories are qualitative and don’t lie on a numerical scale. So the description that fits continuous data is that they can take any value along a continuous scale.