A variable is a bucket that can contain any type of information, but the representation and processing of this information depend on the type of the data. A variable is some aspect of a testing condition that can change or take on different characteristics with different conditions. ### Types of Variables:

**Examples :**

y + 10 = 2 - x, Where x, y are variables and the value of y depends upon the value of x.

ax$^2$ + p x + c = 0, Where x is a variable.

Variables are classified in terms of their relationship with one another. In statistics, there are several **types of variables**,

- qualitative variables
- quantitative variables
- Independent variables
- Dependent variables
- Discrete variables
- Continuous variables

**Qualitative Variables:**

Quantitative variables are not necessarily numerical, but can be categorized. For example Gender has two possible values: male and female.

**Example: **Gender, Hair color.

**Quantitative variables:**

Quantitative variables can be continuous or discrete. These type of variables always have different numeric value. Interval sequence, ratio values and Ordered values are quantitative variables.

**Example :** Temperature, Height, age and marks on an exam.

**Independent variables:**

Independent variable is one that is believed to cause some change in the value of the dependent variable.

**Dependent variables :**

Dependent variable is a measure of the behavior of the subject.
The dependent variable is a response that is generally measured using at
least one of the several different dimensions.

**Discrete Variables:**

Example: Number of schools in a city. It may be 40 or 50 not 40.4.

**Continuous Variables:**

Example: Weight, years.

Related Calculators | |

Calculator Variable | Binomial Random Variable Calculator |

Determinant Calculator with Variables | Fraction and Variable Calculator |

More topics in Variable | |

Dependent Variable | Independent Variable |