0
What else can I help you with?
What is ordinal statistics?
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.
Is asking your birth year a ordinal data?
No, but the answers provide ordinal data.
What is the different between ordinal data and categorical data?
Ordinal data is a type of categorical data where the categories have a meaningful order or ranking, such as rating scales (e.g., "poor," "fair," "good," "excellent"). In contrast, categorical data, also known as nominal data, consists of distinct categories that do not have a specific order, such as colors (e.g., "red," "blue," "green"). While both types of data classify items into groups, ordinal data conveys a sense of hierarchy, whereas categorical data does not.
What are the advantages and disadvantages transforming of continuous data into either discrete or ordinal data?
1.) Discrete: restricted to integers; ordinal subjective
Major advantage of ordinal data over nominal data?
its sick blad
IS GPA nominal data or ordinal?
It is ordinal.
What is ordinal statistics?
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.
Is asking your birth year a ordinal data?
No, but the answers provide ordinal data.
What is the different between ordinal data and categorical data?
Ordinal data is a type of categorical data where the categories have a meaningful order or ranking, such as rating scales (e.g., "poor," "fair," "good," "excellent"). In contrast, categorical data, also known as nominal data, consists of distinct categories that do not have a specific order, such as colors (e.g., "red," "blue," "green"). While both types of data classify items into groups, ordinal data conveys a sense of hierarchy, whereas categorical data does not.
Should The mean or median be used in ordinal data?
The median is used when reporting ordinal data.
What are the advantages and disadvantages transforming of continuous data into either discrete or ordinal data?
1.) Discrete: restricted to integers; ordinal subjective
True or false Data at the ordinal level are quantitative only?
False. Data at the ordinal level can be either quantitative or qualitative. In ordinal data, the categories have a meaningful order or rank, but the difference between the categories is not necessarily equal.
How do you convert ordered data to nominal 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
What is Data that is ranked but not with even intervals?
ordinal
What is nominal and ordinal in qualitative variables?
Nominal and ordinal variables are both qualitative or discrete variables. Nominal variables allow for only qualitative classification while an ordinal variable is a nominal variable, but its different states are ordered in a meaningful sequence.
Major advantage of ordinal data over nominal data?
its sick blad
The scale of measurement for the variable eye color is?
Nominal
