What data type has consistent intervals between the numbers on a scale, allowing for uniform measurement?

The correct response is based on the characteristics of interval data, which is defined by having consistent intervals between numbers. This means that the difference between any two values is the same throughout the scale, allowing for meaningful comparisons that involve addition and subtraction. For instance, in temperature measurements in degrees Celsius, the difference between 20°C and 30°C is the same as the difference between 70°C and 80°C, making it possible to state that 30°C is 10 degrees warmer than 20°C.

Interval data is crucial in statistical analysis because it permits a wide range of mathematical operations. Unlike nominal or ordinal data, which do not maintain a uniform scale, interval data allows for precise calculations of means, standard deviations, and correlations, which can enhance the analysis of trends and relationships in research. Ratio data, while similarly equipped with meaningful intervals, takes it a step further by having a true zero point, allowing for comparisons of absolute magnitudes. However, the question specifically asks about consistent intervals, which aligns directly with the definition of interval data.