Final answer:
The variable 'Fur Length' in the monkey dataset is measured on an ordinal scale, whereas fur color is nominal, and age and body weight are ratio scales.
Step-by-step explanation:
The variable measured on an ordinal scale in the dataset is Fur Length (short, medium, long), as it signifies a ranked order without specifying the exact difference between the ranks. The variable measured on an ordinal scale in the monkey dataset is Age. An ordinal scale is a type of measurement scale that represents values in a particular order, but the differences between the values are not necessarily equal.
Fur color, which consists of categories like brown or black without inherent order, is measured on a nominal scale. Age and Body Weight, on the other hand, are measured on a ratio scale as they have a true zero point and the differences between measured objects can be expressed as precise numerical differences. It's important to understand these distinctions, as they affect the statistical methods used to analyze the data. Recognition and proper classification of scales of measurement help in drawing more accurate and meaningful conclusions in scientific research.