nominal
ratio
Age is none of the items listed. Age is ratio data.
Telephone numbers are actually nominal data.
It is ratio; it has a natural zero and is numerical data.
nominal
ratio
illustrate how you can express the age of group of persons as {1}nominal,{2}ordinal data,{3} interval data,{4}ratio data
Age is none of the items listed. Age is ratio data.
I am not sure if I understand your question. I will rephrase it to: Should data collected on the ages of persons in a group be consider as nominal, ordinal, interval or ratio data? It is ratio. Now, let's try another question. A study finds that people with names beginning with the letter "a-k" are older than people with letters "l-z". In this case, the data collected on names in nominal data, but the ages are still ratio data.
Neither, age is at a ratio level of measurement.
Telephone numbers are actually nominal data.
It is ratio; it has a natural zero and is numerical data.
It is Ordinal:Order the data from smallest to largest or "worst" to "best".Each data value can be compared with another data value.
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.
Nominal Scale < Ordinal< Interval < Ratio
Yes, marital status is nominal data.
No, it is not suitable for nominal data.