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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
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Major advantage of ordinal data over nominal data?
its sick blad
Why is ANOVA used for interval and ratio level data only and not used for nominal or ordinal level data?
ANOVA (Analysis of Variance) is used for interval and ratio level data because it relies on the assumption that the data is continuous and normally distributed, allowing for meaningful calculations of means and variances. Nominal and ordinal data do not meet these criteria; nominal data consists of categorical variables without a numerical relationship, while ordinal data has a ranked order but does not provide equal intervals between ranks. Consequently, ANOVA is not appropriate for these data types as it cannot accurately assess differences in means or variances.
Is the category of ages nominal or ordinal data?
Neither, age is at a ratio level of measurement.
Express age of group of person as nominal data?
illustrate how you can express the age of group of persons as {1}nominal,{2}ordinal data,{3} interval data,{4}ratio data
Is a bar chart used to represent interval data?
Bar charts are used to summarise nominal or ordinal data.
IS GPA nominal data or ordinal?
It is ordinal.
Is Gender nominal or ordinal?
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.
Is occupation nominal or ordinal or interval?
Occupation is nominal data. There is not an order to the category occupation, so that eliminates ordinal and interval.
Education nominal data or ordinal data?
Education should be treated as a nominal scale because the years spent between two grades are not same for all the grades. i.e. difference between Jr. College and Sr. College isn't same as between graduation and post-graduation.
Major advantage of ordinal data over nominal data?
its sick blad
What type of data is random test scores ordinal or nominal?
ratio
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.
Is Age nominal interval or ordinal data?
Age is none of the items listed. Age is ratio data.
Why is ANOVA used for interval and ratio level data only and not used for nominal or ordinal level data?
ANOVA (Analysis of Variance) is used for interval and ratio level data because it relies on the assumption that the data is continuous and normally distributed, allowing for meaningful calculations of means and variances. Nominal and ordinal data do not meet these criteria; nominal data consists of categorical variables without a numerical relationship, while ordinal data has a ranked order but does not provide equal intervals between ranks. Consequently, ANOVA is not appropriate for these data types as it cannot accurately assess differences in means or variances.
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.
What statistical test do you use for nominal by ordinal data?
Kruskal-Wallis H test.
Is the category of ages nominal or ordinal data?
Neither, age is at a ratio level of measurement.
