## What is an example of ordinal data?

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Examples of ordinal variables include: socio economic status (“low income”,”middle income”,”high income”), education level (“high school”,”BS”,”MS”,”PhD”), income level (“less than 50K”, “50K-100K”, “over 100K”), satisfaction rating (“extremely dislike”, “dislike”, “neutral”, “like”, “extremely like”).

**What is ordinal vs nominal data?**

Nominal data is a group of non-parametric variables, while Ordinal data is a group of non-parametric ordered variables. Although, they are both non-parametric variables, what differentiates them is the fact that ordinal data is placed into some kind of order by their position.

### What is the difference between ordinal and categorical data?

An ordinal variable is similar to a categorical variable. The difference between the two is that there is a clear ordering of the categories. For example, suppose you have a variable, economic status, with three categories (low, medium and high).

**What is scale data?**

Scales of measurement in research and statistics are the different ways in which variables are defined and grouped into different categories. Sometimes called the level of measurement, it describes the nature of the values assigned to the variables in a data set.

#### What is an example of numerical data?

Numerical data represent values that can be measured and put into a logical order. Examples of numerical data are height, weight, age, number of movies watched, IQ, etc. To graph numerical data, one uses dot plots, stem and leaf graphs, histograms, box plots, ogive graphs, and scatter plots.

**What are nominal data?**

Nominal data is data that can be labelled or classified into mutually exclusive categories within a variable. These categories cannot be ordered in a meaningful way. For example, for the nominal variable of preferred mode of transportation, you may have the categories of car, bus, train, tram or bicycle.

## What is ordinal data in research?

Ordinal data is a statistical type of quantitative data in which variables exist in naturally occurring ordered categories. The distance between two categories is not established using ordinal data.

**What is nominal and categorical data?**

Categorical variables are those that have discrete categories or levels. Categorical variables can be further defined as nominal, dichotomous, or ordinal. Nominal variables describe categories that do not have a specific order to them. These include ethnicity or gender.

### What is scale data example?

The best examples of ratio scales are weight and height. In market research, a ratio scale is used to calculate market share, annual sales, the price of an upcoming product, the number of consumers, etc.

**What is ordinal scale with example?**

Cases in the same class are considered to be equivalent. Some examples of variables that use ordinal scales would be movie ratings, political affiliation, military rank, etc. Example. One example of an ordinal scale could be “movie ratings”. For example, students in a class could rate a movie on the scale below.

#### What are some examples of ordinal data?

70 and above.

**What does ordinal data mean?**

What is Ordinal Data? In statistics, ordinal data are the type of data in which the values follow a natural order. One of the most notable features of ordinal data is that the differences between the data values cannot be determined or are meaningless. Generally, the data categories lack the width representing the equal increments of the underlying attribute.

## What are good basic statistics to use for ordinal data?

the frequency distribution in numbers or percentages,

**What is the definition of ordinal data?**

Ordinal data is data that assigns variables to specific categories and ranks, but there’s an unequal amount of space between each category, or there is no defined space at all. The ranks are hierarchical, ranging from highest to lowest, for example, or most frequent to least frequent. Researchers often use ordinal data for qualitative studies.