# Where can we see discrete and continuous random variables in real life situations?

Table of Contents

- 1 Where can we see discrete and continuous random variables in real life situations?
- 2 What is a real life example of discrete random variable?
- 3 What is the similarities of continuous and discrete variable?
- 4 What is continuous random variable?
- 5 What is discrete and continuous random variable?
- 6 How will you differentiate between discrete and continuous random variables?
- 7 How do continuous random variables differ from discrete random variables?
- 8 What is the difference between discrete and continuous?

## Where can we see discrete and continuous random variables in real life situations?

For example, the number of students in a class is countable, or discrete….Examples of Continuous Random Variables

- The length of time it takes a truck driver to go from New York City to Miami.
- The depth of drilling to find oil.
- The weight of a truck in a truck-weighing station.
- The amount of water in a 12-ounce bottle.

**How can random variables be used in real life?**

The use of random variables is most common in probability and statistics, where they are used to quantify outcomes of random occurrences. Risk analysts use random variables to estimate the probability of an adverse event occurring.

### What is a real life example of discrete random variable?

Examples of discrete random variables include: The number of eggs that a hen lays in a given day (it can’t be 2.3) The number of people going to a given soccer match. The number of students that come to class on a given day.

**How does random variable help us in our daily lives?**

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.

## What is the similarities of continuous and discrete variable?

Comparison Chart

Basis for Comparison | Discrete Variable | Continuous Variable |
---|---|---|

Values | Values are obtained by counting. | Values are obtained by measuring. |

Classification | Non-overlapping | Overlapping |

Assumes | Distinct or separate values. | Any value between the two values. |

Represented by | Isolated points | Connected points |

**How do discrete and continuous random variables differ?**

A discrete random variable has a finite number of possible values. A continuous random variable could have any value (usually within a certain range).

### What is continuous random variable?

A continuous random variable is one which takes an infinite number of possible values. Continuous random variables are usually measurements. Examples include height, weight, the amount of sugar in an orange, the time required to run a mile.

**What is a real life example of a variable?**

A variable is a number that does not have a fixed value. The picture and the list below show some real-life examples, where the value of a variable changes with the change in place and time. The temperature in different places also change. The height of a growing child changes with time.

## What is discrete and continuous random variable?

Discrete and Continuous Random Variables. Discrete and Continuous Random Variables: A variable is a quantity whose value changes. A discrete variable is a variable whose value is obtained by counting. A continuous random variable X takes all values in a given interval of numbers.

**What are discrete and continuous random variables?**

“A discrete variable is one that can take on finitely many, or countably infinitely many values”, whereas a continuous random variable is one that is not discrete, i.e. “can take on uncountably infinitely many values”, such as a spectrum of real numbers.

### How will you differentiate between discrete and continuous random variables?

A discrete random variable has a finite number of possible values. A continuous random variable could have any value (usually within a certain range). A continuous random variable could take on any value (usually within a certain range); there are not a fixed number of possible values.

**Why is it important to differentiate discrete variable and continuous variable?**

Discrete variable assumes independent values whereas continuous variable assumes any value in a given range or continuum. A discrete variable can be graphically represented by isolated points. Unlike, a continuous variable which can be indicated on the graph with the help of connected points.

## How do continuous random variables differ from discrete random variables?

Continuous random variables differ from discrete random variables in a one key way: The P(X =y) P (X = y) for any single value y y is zero. This is because the probability of the random variable taking on exact value out of the infinite possible outcomes is zero.

**Why do we ask for the probability of a continuous variable?**

This is because the probability of the random variable taking on exact value out of the infinite possible outcomes is zero. Therefore we asking about probabilities for continuous random variables we ask for the probability the random variable produces a value in some range (a,b) ( a, b) of values P(a ≤ X ≤ b).

### What is the difference between discrete and continuous?

A discrete variable is a variable whose value is obtained by counting. number of heads when flipping three coins A continuous variable is a variable whose value is obtained by measuring.

**How do you find the mean of a discrete random variable?**

Means and Variances of Random Variables: The mean of a discrete random variable, X, is its weighted average. Each value of X is weighted by its probability. To find the mean of X, multiply each value of X by its probability, then add all the products. The mean of a random variable X is called the expected value of X.