Your nationality, city that you live in, model of your car(s), colour of your eyes.
Nominal or category;Ordinal scale;Interval scale; andRatio scale.
Chi-square is a statistic used to assess the degree of the relationship and degree of association between two nominal variables
Scientific notation is useful in economics to compute very large or very small numbers.
dependent variables, independent variable, nominal, ordinal, interval, ratio variableThere are three main kinds:Nominal: such as colour of eyes, or gender, or species of animal. With nominal variables there is no intrinsic sense in which one category can be said to be "more" than another.Ordinal: Such as Small/Medium/Large, orStrongly Disagree/Disagree/Indifferent/Agree/Srongly Agree. The categories can be ordered but the differences between pairs is not comparable. For example, it is not really possible to say that the difference betwen Strongly disagree and disagree is the same as (or double or half or whatever) the difference between indifferent and agree.Interval: These are variables where the distance between one pair of values (their interval) can be related to the distance between another pair. Such variables can be subdivided into discrete and continuous.Another way of classifying variables is independent and dependent.The dependent variable is a random variable but the independent variable can be random or non-random.
In macroeconomics, the classical dichotomy refers to an idea attributed to classical and pre-Keynesian economics that real and nominal variables can be analyzed separately. To be precise, an economy exhibits the classical dichotomy if real variables such as output and real interest rates can be completely analyzed without considering what is happening to their nominal counterparts, the money value of output and the interest rate.
In qualitative variables, nominal data involves categories with no inherent order, such as colors or types of fruit. Ordinal data, on the other hand, includes categories that have a meaningful order or ranking, such as education levels or customer satisfaction ratings.
Nominal Variables
Labour is a variable,Population,Stock etc are variables
In economics, the nominal values of something are its money values in different years
There are many ways of categorising variables. One classification, used in statistics, is Nominal, Ordinal and Interval.
nominal and ordinal is wrong; those are the two types of qualitative variables. Ratio and interval are the two types of quantitative variables.
Your nationality, city that you live in, model of your car(s), colour of your eyes.
The series of cultural standards or norms that an entire country has are national cultural variables. Social norms, politics, language, education, economics, and regulation are national cultural variables
Three, they are: Constant,dependant, & controlled. Alternatively, you can say there are 4: nominal, ordinal, interval, and ratio.
Nominal or category;Ordinal scale;Interval scale; andRatio scale.
Due to all of the factors of supply, demand, and price associated with economics, it is hard to apply the scientific method to economics.