Is race a continuous variable?

Race, Gender, and Smoking are categorical variables.

What kind of variable is race ethnicity?

nominal categorical variables
Gender, Diabetes and Race/Ethnicity were nominal categorical variables, they have no natural order and individuals can only be put into categories for these variables.

How do you know if it is discrete or continuous?

Discrete data is a numerical type of data that includes whole, concrete numbers with specific and fixed data values determined by counting. Continuous data includes complex numbers and varying data values that are measured over a specific time interval.

Can race be an ordinal variable?

Examples of nominal data include country, gender, race, hair color etc. of a group of people, while that of ordinal data includes having a position in class as “First” or “Second”. Note that the nominal data examples are nouns, with no order to them while ordinal data examples come with a level of order.

Is race a categorical variable?

Categorical variables represent types of data which may be divided into groups. Examples of categorical variables are race, sex, age group, and educational level. There are 8 different event categories, with weight given as numeric data.

Is race/ethnicity variable categorical or continuous?

Race and ethnicity variables are categorical (or discontinuous) variables used to illustrate variation in labels rather than variation in level (ordinal or interval variables).

Is race ordinal or nominal?

For example, Race is a nominal variable having a number of categories, but there is no specific way to order from highest to lowest and vice versa.

What is continuous in statistics?

A continuous distribution is one in which data can take on any value within a specified range (which may be infinite). Therefore, continuous distributions are normally described in terms of probability density, which can be converted into the probability that a value will fall within a certain range.

What is discrete data in statistics?

Discrete data is information that can only take certain values. This type of data is often represented using tally charts, bar charts or pie charts. Continuous data is data that can take any value. Height, weight, temperature and length are all examples of continuous data.

Is race an interval ratio?

Typical examples of nominal variables are gender, race, color, city, etc. Ratio variables are very similar to interval variables; in addition to all the properties of interval variables, they feature an identifiable absolute zero point, thus they allow for statements such as x is two times more than y.

Is race categorical or quantitative?

Examples of quantitative characteristics are age, BMI, creatinine, and time from birth to death. Examples of qualitative characteristics are gender, race, genotype and vital status. Qualitative variables are also called categorical variables.