Neither, age is at a ratio level of measurement.
It is Ordinal:Order the data from smallest to largest or "worst" to "best".Each data value can be compared with another data value.
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.
Yes.
It is ratio; it has a natural zero and is numerical data.
Age is none of the items listed. Age is ratio data.
Questionnaires typically use nominal, ordinal, interval, or ratio levels of measurement. The level of measurement chosen depends on the specific type of data being collected and the research objectives.
Neither, age is at a ratio level of measurement.
It is Ordinal:Order the data from smallest to largest or "worst" to "best".Each data value can be compared with another data value.
Occupation is nominal data. There is not an order to the category occupation, so that eliminates ordinal and interval.
illustrate how you can express the age of group of persons as {1}nominal,{2}ordinal data,{3} interval data,{4}ratio data
Nominal, ordinal, interval and ratio (NOIR) are four levels of measurement typically recognized in the statistical literature. At the nominal level, objects are categorized with names, identifiers or labels such as colors like red, yellow and blue. TAnother example is the answers on a survey sheet, Yes, No, and Undecided. At the ordinal level, the data can be ordered. Course grades A,B, C, D and E is an example. At the interval level, the data can be ordered and the difference between data values has meaning. Temperature in degrees F is an example. At the ratio level, there is a natural zero starting point and differences and ratios have meaning.
interval
Bar charts are used to summarise nominal or ordinal data.
ratio
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.