It is Ordinal:Order the data from smallest to largest or "worst" to "best".Each data value can be compared with another data value.
It depends on how the variable is used. At its simplest, it would be a nominal or categorical value but, if used as part of a time series, it would be an ordinal variable.
Ordinal data has an inherent order, i.e. ranking, in its possible values. For example 'poor, fair, good, excellent' is ordinal becaused there is an assumption that the four possible values are higher from one to the next. It can be coded as 1,2,3,4 but there is no assumption of equal spacing. Nominal data has no inherent ranking, only labeling-e.g. 'apple, strawberry, orange'. The choices are three levels with no assumed value. Any numerical coding does not reflect any quantitative meaning. Georgette Asherman, Direct Effects, LLC
Ordinal. Tests responses are usually correct or incorrect. This would be assigned a value and the number of correct answers is the score of the test. There is a logical order, a correct answer is better than an incorrect answer, so it is not nominal data. Even though we calculate averages, test responses are not interval data, as there is no meaning to the interval. See related link.
It is an ordinal value. ----- Here's one way to see this. Suppose you start take birthday 1 January 2000 to be 1, birthday 2 January 2000 to be 2, ... , birthday 31 January 2000 to be 31, then birthday 1 February 2000 to be 32, and so on, number all of the birthdays until today, you will have a number of about 5104. If you need birthdays before 1 January 2000 you could use negative numbers. Clearly these numbers are ordered and form an ordinal scale.
Nominal values are the values that a component is specified to be. For example, the nominal value of a 10K resistor is 10K. Its actual value may vary, though, based on its tolerance.
Suppose you have a set of ordinal values and numbers of occurrences of the values then the number of occurrence as a percentage of the total number of occurrences is the percentage corresponding to that particular ordinal value. The cumulative percent is the sum of the percentages up to and including that ordinal value.
Nominal Value, Face Value or Par Value of Shares- Value of the Share as indicated on the Share Certificate. This is different from the Market Value of the Sare, which is the actual value of the share and the amount for which it can be bought or sold. The Market Value can be either higher or lower than the Nominal Value, depending on the performance of the company or the economic circumstances of the day. In essence, the Nominal Value of a Share is of little importance and most investors are concerned primarily, if not solely, with the Market Value of the Shares.
Whatever the present market value is.
The median shows where the 'middle' of your data is. For qualitative data, this only makes sense when the variable is ordinal. An ordinal variable is one whose values have a natural order, eg never/rarely/sometimes/often/always. If you have nominal data (qualitative data with no order) eg democratic/republican/other, you might find the mode (most common value) useful.
Nominal value of shares refers to the value of share expressed in monetary terms. It is the fixed value of an issued security for the specific year or years without adjusting or inflation. It is also called par value or face value.
Normally an A, but it depends on the grading scale of the school.