yes a gender is a categorical variable
Neither. It is a discrete variable.
Yes.
Yes.
Age is acontinuousvariable because it can bemeasured with numbers. A categorical variable deals with nominal variables example male or female, political view, etc
No. Income is a quantitative variable since it is measured in numbers instead of categories.
Nominal (categorical), and Dependent (it is measured and accounted for, but a researcher cannot manipulate gender).
A blocking variable is a variable that is included in a statistical analysis to account for the effects of that variable on the outcome of interest. By including a blocking variable, researchers can control for potential confounding factors and ensure that the relationship being studied is accurately captured. Blocking variables are commonly used in experimental design to improve the precision and validity of study results.
Categorical.
Yes.
Yes.
Neither. It is a discrete variable.
A categorical variable (also known as a discrete variable) is one whose range is countable; e.g. the variable answ has values [yes, no, not sure]. answ is a categorical variable with range 3.A continuous variable is one which is not categorical; e.g. weight is a continuous variable which can take any value between 0 and 1000 kg (say) for a human being.
A dummy variable assumes a value of either 0 or 1. A categorical variable assumes one of a usually small number of values. For example, a categorical variable might assume the values 'F' or 'M' for female or male.
It depends on how the variable is used. At its simplest, it would be a nominal or categorical value but, if used as part of a time series, it would be an ordinal variable.
yes
Categorical variables take on a limited and at times a fixed number of value possibilities. If in fields such as Compute Science or Mathematics, they are referred to as enumerated types. In some cases possible values of a variable may be classified as levels.
Age is acontinuousvariable because it can bemeasured with numbers. A categorical variable deals with nominal variables example male or female, political view, etc