BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -INTERVAL DATA are ordinal but have constant differences between observations and have arbitrary zero points.

Detailed explanation-2: -The interval level is a numerical level of measurement which, like the ordinal scale, places variables in order. Unlike the ordinal scale, however, the interval scale has a known and equal distance between each value on the scale (imagine the points on a thermometer).

Detailed explanation-3: -Ordinal scale has all its variables in a specific order, beyond just naming them. Interval scale offers labels, order, as well as, a specific interval between each of its variable options.

Detailed explanation-4: -Ordinal data is a kind of qualitative data that groups variables into ordered categories. The categories have a natural order or rank based on some hierarchal scale, like from high to low. But there is no clearly defined interval between the categories.

Detailed explanation-5: -Examples of ordinal variables include: socio economic status (“low income”, ”middle income”, ”high income”), education level (“high school”, ”BS”, ”MS”, ”PhD”), income level (“less than 50K”, “50K-100K”, “over 100K”), satisfaction rating (“extremely dislike”, “dislike”, “neutral”, “like”, “extremely like”).