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Basically categorical variable yield data in the categories e.g sex (male, female), modes of transport (Bus, railway, etc) and numerical variables yield data in numerical form e.g. age (0-100), number of accident on a certain highway (0,1,2,..).

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What is one difference between a variable and a numerical expression?

The variable.


What is one difference between a variable expression and a numerical expression?

The variable.


What is the difference between a categorical and a numerical variable?

Categorical data (or variable) consists of names representing categories. For example, the gender (categories of male & female) of the people where you work or go to school; or the make of cars in the parking lot (categories of Ford, GM, Toyota, Mazda, KIA, etc) is categorical data. Numerical data (or variable) consists of numbers that represent counts or measurements. For example, the number of males & females where you work or go to school; or the number of the make of cars Ford, GM, Toyota, Mazda, KIA, etc is numerical data.


What is the difference between continuous and categorical independent variables?

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.


Difference between dummy and categorical variable?

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.


What is the difference between a numerical expression and a variable expression?

A variable expression includes variables.


What is the difference between a coefficient and variable?

A variable is a part of a term which can change. A coefficient is a numerical constant, associated with a variable. For example, in the term 3x^2 , 3 is the coefficient, while x is a variable.


What is correlation ratio?

The correlation ratio, often denoted as η (eta), measures the strength and direction of association between a continuous variable and a categorical variable. It quantifies how much variability in the continuous variable can be explained by the categorical variable. Unlike Pearson's correlation, which is limited to linear relationships between two continuous variables, the correlation ratio can capture relationships involving categorical data. It is particularly useful in statistical analysis to understand the influence of categorical factors on continuous outcomes.


What is the difference between a real variable and a nominal variable?

A real variable is a quantitative measure that can take on a wide range of numerical values, allowing for meaningful mathematical operations such as addition and subtraction; examples include height, weight, and temperature. In contrast, a nominal variable is a categorical measure that represents distinct categories without any inherent order or ranking; examples include gender, nationality, and colors. Essentially, real variables express quantities, while nominal variables classify data into groups.


The difference between fixed and variable inputs?

difference between fixed and variable inputs


How many variables does a t test measure?

A t-test typically measures two variables: one categorical independent variable with two levels (groups) and one continuous dependent variable. It assesses whether there is a statistically significant difference in the means of the continuous variable between the two groups.


What is difference between continuous and ordinal variable?

A continuous variable is one which can take any numerical value over some interval. An ordinal variable is one that can take non-numerical or categoric values which can be put into some logical order but where the difference between successive categories cannot be quantified. One example may be Small-Medium-Large, or a popular one among opinion pollsters: Disagree Strongly-Disagree-Agree-Agree Strongly.

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