Gender can be a continuous variable, not just a categorical one: Comment on Hyde, Bigler, Joel, Tate, and van Anders (2019)
Is gender a discrete or continuous variable?
Variable Reference Table : Few Examples
|Variable||Variable Type||Variable Scale|
|Gender as Binary 1/0 Coding||Discrete||Categorical|
Is profit a discrete or continuous variable?
The number of each type of job completed by a company each month, the number of employees required for work each day or the profit a business makes each month are all examples of discrete data.
What are examples of discrete and continuous variables?
Difference between Discrete and Continuous Variable
|Discrete Variable||Continuous Variable|
|Examples: Number of planets around the Sun Number of students in a class||Examples: Number of stars in the space Height or weight of the students in a particular class|
What are 3 types of variables?
These changing quantities are called variables. A variable is any factor, trait, or condition that can exist in differing amounts or types. An experiment usually has three kinds of variables: independent, dependent, and controlled.
Is grade a continuous variable?
Ordinal (ordered) variables, e.g., grade levels, income levels, school grades. … Continuous variables grouped into small number of categories, e.g., income grouped into subsets, blood pressure levels (normal, high-normal etc)
Is gender an independent variable?
Note that in this context, gender is considered to be a quasi-independent variable because we cannot actually manipulate gender. Nevertheless, the t-test can be applied to examine differences between men and women on various dependent variables.
Is age continuous or discrete?
Age is measured in units that, if precise enough, could be any number. Therefore the set they come from is infinite. For example, someone could be 22.32698457 years old or 22.32698459 years old. We could be infinitly accurate and use an infinite number of decimal places, therefore making age continuous.
How do you know if it is discrete or continuous?
A discrete variable is a variable whose value is obtained by counting. A continuous variable is a variable whose value is obtained by measuring. A random variable is a variable whose value is a numerical outcome of a random phenomenon. A discrete random variable X has a countable number of possible values.