On the contrary, the number of children in a given family is a discontinuous variable. If you were talking about averagenumbers of children, that would be a continuous variable because the average could be any number, 2.3987, or 3.07428, and so forth. But in a given family, the number of children is always an integer. You can have none, or one, or two, or three, etc., but you cannot have two and a quarter children. So the variable is not continuous.
Continuous variables have an unlimited number of possibilities between two points. In the scientific realm, age is a continuous variable.
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,..).
No, this is a discrete variable since it can assume only whole number values: 0, 1, 2, 3, ... . A continuous variable would be one such as volume of water in a swimming pool which could be measured in real number units of volume.
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.
On the contrary, the number of children in a given family is a discontinuous variable. If you were talking about averagenumbers of children, that would be a continuous variable because the average could be any number, 2.3987, or 3.07428, and so forth. But in a given family, the number of children is always an integer. You can have none, or one, or two, or three, etc., but you cannot have two and a quarter children. So the variable is not continuous.
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.
There are a number of situations when it does not make sense. Among these, the two main reasons are:The variable along the x-axis is nominal (categorical) or ordinal.The variable along the y-axis is not continuous.
A quantitative variable where there is a continuous (no infinite number) of attributes. For example length/height/weight can be measure as continuous as it has not set number
Continuous variables have an unlimited number of possibilities between two points. In the scientific realm, age is a continuous variable.
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
No it is not a continuous variable because whilst you could have telephone numbers such as 123456 and 123457 you could not have a telephone number that was in between these two such as 123456.5.
Categorical variables are variables that represent categories or groups. They are qualitative in nature and can take on values that are in a finite set of distinct categories, but do not have a inherent order or numerical significance. Examples include color (red, blue, green) or gender (male, female).
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,..).
Primary locator, secondary locator, variable: - number.
No, this is a discrete variable since it can assume only whole number values: 0, 1, 2, 3, ... . A continuous variable would be one such as volume of water in a swimming pool which could be measured in real number units of volume.
Depends, if you're looking for the raw score then you have a continuous ordinal variable. If you have range of number of car accidents, then you have an interval variable.