Fundamentals of Statistics contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics......click here for more.



Scales

Variables are often numbers, different types of variables (measurements) have to be distinguished. Following Stevens and Conover , four types of scales can be distinguished:
 

  1. Nominal scale: this scale is based on a set of qualitative attributes. There is no criterion to order the items of a nominally scaled variable. Examples: species, sex, treatment groups in experimental designs.
  2. Ordinal scale: this scale refers to measurements that can be ordered in terms of "greater", "less" or "equal". Observations need not be equidistant. Examples: percentile ranks, ranks in a race.
  3. Interval scale: equally spaced units along the scale without a predefined zero point. Examples: temperature (in C, F, or R), water level.
  4. Ratio scale: equally spaced units along the scale with true zero point. Examples: temperature in K, weight, driving speed


Please note that arithmetic operations are only meaningful for interval and ratio scales. Multiplication and division is meaningful only for ratio scales.


Last Update: 2006-Jan-18