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For the purpose of predicting a person’s weight using their height and gender, we can think of three scalar random variables: gender (denote as X), height (denote as Y) and weight (denote as Z).

## What type of random variable is gender?

Dichotomous variables are nominal variables which have only two categories or levels. For example, if we were looking at gender, we would most probably categorize somebody as either “male” or “female”. This is an example of a dichotomous variable (and also a nominal variable).

## Is gender a continuous random variable?

A continuous variable is a specific kind a quantitative variable used in statistics to describe data that is measurable in some way. … Some examples of variables in statistics might include age, eye color, height, number of siblings, gender, or number of pets.

## What type of variable is gender?

A good example of a nominal variable is sex (or gender).

## Which are random variables?

A random variable is a variable whose value is unknown or a function that assigns values to each of an experiment’s outcomes. A random variable can be either discrete (having specific values) or continuous (any value in a continuous range).

## Is gender a categorical variable?

For example, gender is a commonly used categorical variable. Categorical variables can be either ordinal (the categories can be ranked from high to low) or nominal (the categories cannot be ranked from high to low).

## Is gender a discrete variable?

On purpose, I made it sound distinct that a variable is either discrete or continuous.

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Variable Reference Table : Few Examples.

Variable | Variable Type | Variable Scale |
---|---|---|

Gender | Discrete | Categorical |

Gender as Binary 1/0 Coding | Discrete | Categorical |

True/False | Discrete | Categorical |

Phone Number | Discrete | Nominal |

## Is gender a variable in statistics?

“Gender” is a variable. It can take on two different values, either male or female. … In the previous example, “Gender” was a qualitative/categorical variable. Gender was categorized as either male or female.

## Is gender a binary variable?

ABSTRACT. In the social sciences, many quantitative research findings as well as presentations of demographics are related to participants’ gender. Most often, gender is represented by a dichotomous variable with the possible responses of woman/man or female/male, although gender is not a binary variable.

## Is gender a discrete or continuous data?

Is gender a continuous data? continuous data. Discrete data: when the variable is restricted to specific defined values. For example, “male” or “female” are categorical discrete data values.

## Can gender be an independent variable?

An independent variable is used in statistics to predict or explain a dependent variable. For example, Age and Gender might be used as independent variables to predict the age of death or life expectancy (dependent variables).

## Why is gender not a quantitative variable?

Gender (male/female) is not a quantitative variable. … If we wanted to study gender, we would have to give the categories of the variable a number rather than a name. For example, by giving men the code 1 and women the code 2.

## Is gender a nominal?

Nominal Scale is derived from the Latin word “nomalis” which denotes “related to names”, is usually used to indicate categories. These categories have corresponding numbers allotted for analysis of collected data. For example, a person’s gender, ethnicity, hair color etc. are considered to be data for a nominal scale.

## What are the 3 types of random variable?

There are three types of random variables- discrete random variables, continuous random variables, and mixed random variables. 1) Discrete Random Variables: Discrete random variables are random variables, whose range is a countable set. A countable set can be either a finite set or a countably infinite set.

## How do you identify a random variable?

Random variables are denoted by capital letters.

If you see a lowercase x or y, that’s the kind of variable you’re used to in algebra. It refers to an unknown quantity or quantities. If you see an uppercase X or Y, that’s a random variable and it usually refers to the probability of getting a certain outcome.

## What are examples of discrete random variables?

If a random variable can take only a finite number of distinct values, then it must be discrete. Examples of discrete random variables include the number of children in a family, the Friday night attendance at a cinema, the number of patients in a doctor’s surgery, the number of defective light bulbs in a box of ten.