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Q: What are examples of categorical and nominal?
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What type of variable is gender?

Nominal (categorical), and Dependent (it is measured and accounted for, but a researcher cannot manipulate gender).


Can you give you some examples of categorical data?

Race, Sex, Age group, education level, hair color... Good examples but we might elaborate: we may give categories names. Take for example the variable, hair color. We might name each of the categories like this: red, blonde, black, etc. In this case we would have nominal categorical variables. Further we can think or categorical variables as being ordered such as income level: high, medium, low, very low or socioeconomic class: low, middle, high. These are called ordinal categorical variables because they represent levels and are grouped in levels say from high to low. As another example you might group temperature levels (categories) as cold, cool, warm and hot. So you have nominal categorical variables and ordinal categorical variables. We like to put things into categories. We have classrooms, offices, addresses, etc. We have grade levels in school. What type of categorical variables is "grade"? I graduated from the 3rd grade but my father graduated from the sixth grade. Who has the highest level of education? Why do we categorize things in the world? We group things so we can make sense of the diversity around us. We catgorize animals into species; we even name people when they are born. Is a person's name a variable? Sure is! It's nominal variable. Why is a person's name a variable? Because name changes or varies from person to person. What about the number of people in a classroom. Is that a categorical variable?name of the school


What are examples of nominal levels of measurement?

Nominal numbers are always discrete.An example would be personality types. You can't have a half or a fourth of a defined personality.


Is shoe size numerical or categorical?

categorical


What are examples of nominal variables?

Your nationality, city that you live in, model of your car(s), colour of your eyes.