Possibly... It depends on how you code income. If income is listed as an actual amount of money earned within a year, then it is interval data because there is a measurable difference between the income of one person vs the income of a second person. For example, one person might make $25,000 and another might make $26,000. We know that the first person makes exactly $1,000 less than person 2. We also know that person 2 makes more than person 1.
If I have 10 people and I call the richest person "1" the second richest person "2", etc. Then the numbers 1 - 10 are ordinal data for "income".
Notice that Ordinal data does not give us any measurable distance between two people. Income "5" might be $1 more than income "6". But Income 7 might be $10,000 less than income "6". All we know with ordinal data is that 1 is larger than 2, 2 is larger than 3, etc.
ratio
It is ordinal.
The median is used when reporting ordinal data.
I think you mean ordinal data. Similar to the golf tournament, you need to determine where to "cut" (from the ordinal data) so as to divide the data into different categories (to the nominal data). For example, if the ordinal data range from 1 to 6 (where 1 = the best) and the cut is 3, then you convert all the numbers from 1 to 3 to "1" (which represents "good") and the all numbers from 4 to 6 to "2" (which represents "bad"). In other words, 1, 2, and 3 from the original ordinal data set are converted to "1" (ordinal data); whereas 4, 5, and 6 from the original date set now become "2" (ordinal data). Eddie T.C. Lam
The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.
ratio
It is ordinal.
Ordinal statistics or data is classified as ordinal if the values can be rated on a scale or put i order. Ordinal data can be counted but never measured.
No, but the answers provide ordinal data.
The median is used when reporting ordinal data.
1.) Discrete: restricted to integers; ordinal subjective
I think you mean ordinal data. Similar to the golf tournament, you need to determine where to "cut" (from the ordinal data) so as to divide the data into different categories (to the nominal data). For example, if the ordinal data range from 1 to 6 (where 1 = the best) and the cut is 3, then you convert all the numbers from 1 to 3 to "1" (which represents "good") and the all numbers from 4 to 6 to "2" (which represents "bad"). In other words, 1, 2, and 3 from the original ordinal data set are converted to "1" (ordinal data); whereas 4, 5, and 6 from the original date set now become "2" (ordinal data). Eddie T.C. Lam
ordinal
no, they are categorical
its sick blad
The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.
Occupation is nominal data. There is not an order to the category occupation, so that eliminates ordinal and interval.