its sick blad
Wiki User
∙ 11y agoNeither, age is at a ratio level of measurement.
illustrate how you can express the age of group of persons as {1}nominal,{2}ordinal data,{3} interval data,{4}ratio data
Bar charts are used to summarise nominal or ordinal data.
I would use Spearman and Kendall
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 is ordinal.
Occupation is nominal data. There is not an order to the category occupation, so that eliminates ordinal and interval.
Gender is nominal. Nominal is categorical only; no ordering scheme. Ordinal level of measurement places some order on the data, but the differences between the data can't be determined or are meaningless.
ratio
In qualitative variables, nominal data involves categories with no inherent order, such as colors or types of fruit. Ordinal data, on the other hand, includes categories that have a meaningful order or ranking, such as education levels or customer satisfaction ratings.
Age is none of the items listed. Age is ratio data.
illustrate how you can express the age of group of persons as {1}nominal,{2}ordinal data,{3} interval data,{4}ratio data
Kruskal-Wallis H test.
Neither, age is at a ratio level of measurement.
Bar charts are used to summarise nominal or ordinal data.
I would use Spearman and Kendall
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