Example Of Ordinal Data In Statistics. In statistics a group of ordinal numbers indicates ordinal data and a group of ordinal data are represented using an ordinal scale. Time is another good. An average of the degree of heart failure a group of patients have cannot be described with a mean. Ordinal data is data which is placed into some kind of order by their position on the scale.
Your data in an order but you cannot say anything about the intervals between the rankings. In scale data there is no standardised value for the difference from one score to the next. An average of the degree of heart failure a group of patients have cannot be described with a mean. True difference in means is not equal to 0 sample. This link will get you back to the first part of the series. Also methods such as Mann-Whitney U test and KruskalWallis H test can also be used to analyze ordinal data.
The data fall into categories but the numbers placed on the categories have meaning.
The classic example of an interval scale is Celsius temperature because the difference between each value is the same. An ordinal variable contains values that can be ordered like ranks and scores. True difference in means is not equal to 0 sample. However you cannot do arithmetic with ordinal numbers because they only show sequence. Examples of Ordinal Data In both of the following examples there is a sense or ranking to condition of the patient. You can categorize your data by labelling them in mutually exclusive groups but there is no order between the categories.