# Question: Which Of The Following Is An Example Of Discrete Random Variable?

## What is a discrete variable in research?

Discrete variables are numeric variables that have a countable number of values between any two values.

A discrete variable is always numeric.

For example, the number of customer complaints or the number of flaws or defects..

## Is Money discrete or continuous?

A continuous distribution should have an infinite number of values between \$0.00 and \$0.01. Money does not have this property – there is always an indivisible unit of smallest currency. And as such, money is a discrete quantity.

## Which of the following is an example of a discrete random variable quizlet?

A random variable that assumes countable values is called a discrete random variable. The number of cars owned by a randomly selected individual is an example of a discrete random variable.

## Which of the following is the best example of a discrete variable?

1. Discrete. A discrete random variable is a (random) variable whose values take only a finite number of values. The best example of a discrete variable is a dice.

## Is gender a discrete or continuous variable?

On purpose, I made it sound distinct that a variable is either discrete or continuous….Variable Reference Table : Few Examples.VariableVariable TypeVariable ScaleGenderDiscreteCategoricalGender as Binary 1/0 CodingDiscreteCategoricalTrue/FalseDiscreteCategoricalPhone NumberDiscreteNominal15 more rowsâ€˘Oct 7, 2016

## Is time a discrete variable?

Discrete time views values of variables as occurring at distinct, separate “points in time”, or equivalently as being unchanged throughout each non-zero region of time (“time period”)â€”that is, time is viewed as a discrete variable.

## What do you mean by discrete variable?

A discrete variable is a variable whose value is obtained by counting. … A discrete random variable X has a countable number of possible values. Example: Let X represent the sum of two dice.

## How do you find the values of random variable?

Step 1: List all simple events in sample space. Step 2: Find probability for each simple event. Step 3: List possible values for random variable X and identify the value for each simple event. Step 4: Find all simple events for which X = k, for each possible value k.

## Which of the following are examples of discrete?

Discrete vs continuous dataDiscrete dataContinuous dataSome common examples of discrete data are the number of students, the number of children, the shoe size, and so onSome common examples of continuous data are height, weight, length, time, temperature, age, and so on4 more rowsâ€˘Jul 10, 2019

## Which of the following are examples of random variables?

In general, quantities such as pressure, height, mass, weight, density, volume, temperature, and distance are examples of continuous random variables.

## Is height a discrete variable?

A discrete variable is one that cannot take on all values within the limits of the variable. A variable such as a person’s height can take on any value. … Variables that can take on any value and therefore are not discrete are called continuous.

## What is the similarities between discrete and continuous?

Comparison ChartBasis for ComparisonDiscrete VariableContinuous VariableValuesValues are obtained by counting.Values are obtained by measuring.ClassificationNon-overlappingOverlappingAssumesDistinct or separate values.Any value between the two values.Represented byIsolated pointsConnected points2 more rowsâ€˘Mar 9, 2017

## What are two examples of continuous variables?

You often measure a continuous variable on a scale. For example, when you measure height, weight, and temperature, you have continuous data. With continuous variables, you can calculate and assess the mean, median, standard deviation, or variance.

## Which is nominal variable?

A nominal variable is a type of variable that is used to name, label or categorize particular attributes that are being measured. … Some examples of nominal variables include gender, Name, phone, etc.

## What is discrete in statistics?

A discrete distribution is one in which the data can only take on certain values, for example integers. A continuous distribution is one in which data can take on any value within a specified range (which may be infinite).

## Which of the following is a discrete variable?

Discrete Variable. Variables that can only take on a finite number of values are called “discrete variables.” All qualitative variables are discrete. Some quantitative variables are discrete, such as performance rated as 1,2,3,4, or 5, or temperature rounded to the nearest degree.

## Is height is continuous or discrete?

Examples of a continuous variable are distance, age and temperature. The measurement of a continuous variable is restricted by the methods used, or by the accuracy of the measuring instruments. For example, the height of a student is a continuous variable because a student may be 1.6321748755… metres tall.

## What is discrete data example?

Discrete data is information that we collect that can be counted and that only has a certain number of values. Examples of discrete data include the number of people in a class, test questions answered correctly, and home runs hit.

## What is random variable and its types?

A random variable, usually written X, is a variable whose possible values are numerical outcomes of a random phenomenon. There are two types of random variables, discrete and continuous.

## Why do we need random variables?

Random variables are very important in statistics and probability and a must have if any one is looking forward to understand probability distributions. … It’s a function which performs the mapping of the outcomes of a random process to a numeric value. As it is subject to randomness, it takes different values.

## Is weight a discrete variable?

For example, the (exact) weight of a person is a continuous random variable. Foot length is also a continuous random variable. Continuous random variables are often measurements, such as weight or length. We view measurements as continuous even though the limitations of a ruler or a scale give discrete measurements.