FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Examples of ordinal categorical variables include academic grades (i.e. A, B, C), clothing size (i.e. small, medium, large, extra large) and attitudes (i.e. strongly agree, agree, disagree, strongly disagree).

Detailed explanation-2: -An ordinal scale can be used for placing winners of a race, sizes of clothing and so on.

Detailed explanation-3: -Why is the “size” scale an interval measurement? Observe that as the size changes by two units (say from size 10 to size 12 or from size 24 to size 26), each of the measurements increases by 2 inches. To put it another way, the intervals are the same. There is no natural zero point for dress size.

Detailed explanation-4: -Dress size: 3, 5, 7, 9, 11, 13, 15, 17 Dress size would be considered quantitative in this case since the values are numerical. Since there are only eight possible dress sizes, it would be considered quantitative and discrete.

Detailed explanation-5: -Ordinal categorical data are non-numerical pieces of information with implied order-for example, survey responses on a scale from very dissatisfied to very satisfied.