Want this question answered?
A variable is a measurement that can take different "values". I put values in quotation marks because a variable can take qualitative values (for example, colour of eye) as well as quantitative (numerical) ones.
It is a typographical error. A qualitative analysis is one in which the observations have no numeric values. Examples include colour of hair, gender, type of pet, favourite movie and so on
no
In statistics or data management, there are two main types of variables. Each of these types of variables can then be divided into two more types of variables.1. Categorical variableA categorical variable is commonly known as a qualitative variable. Every response can be placed into a category. A response may fit into a specific category (mutually exclusive), or it may fit into a category such as "other" along with other responses (exhaustive). Categorical variables are either nominal or ordinal. A nominal variable is a word that describes a category (i.e. horse, dog, cat) and the order does not matter. An ordinal variable uses categories that have to be placed in an order (i.e. very bad, bad, ok, good, very good).2. Numeric variableA numeric variable is a variable that is expressed by a real number. It is commonly referred to as a quantitative variable. Numeric variables can either be continuous or discrete. A continuous variable is variable that can assume an infinite number of real values (i.e. 2.345....). These variables are often grouped into class intervals. A discrete variable is a variable with a finite number of real values (i.e. shoe size).Grade 12 Data Management class
What disadvantages are there to using parametric equations for numeric values?
A random variable which can take qualitative values rather than numeric values. For example, the question "What colour are your eyes?" will generate qualitative answers.
Since social security numbers have numeric values, a social security number is an example of a qualitative variable.
A qualitative variable is a variable that has categorized values and the difference cannot be measured. A quantitative variable is a variable that consist of ordinary values and the difference can be measured. Depending on the type of class rank it can be both qualitative as quantitative.
A quantitative variable is numeric and therefore can be counted discretely or continuously. The other side of the spectrum is qualitative variables.
continuous random variable
A variable is a measurement that can take different "values". I put values in quotation marks because a variable can take qualitative values (for example, colour of eye) as well as quantitative (numerical) ones.
Descriptive, non-numeric, qualitative. Furthermore, they cannot be ordered (as in small, medium, large)
They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
A variable is something that can take different values. These values may be qualitative (colour, gender, favourite singer etc) or quantitative. A continuous variable must be quantitative such that it can take all values between its lowest (minimum) and highest (maximum). The variable is independentif its value is not affected by the value of any other variable under consideration.
qualitative because they are non-numeric.
It is a qualitative variable.