## How can you tell the difference between continuous and discrete distribution?

Discrete Distributions: 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).

**What is the difference between discrete and continuous probability distribution?**

A probability distribution may be either discrete or continuous. A discrete distribution means that X can assume one of a countable (usually finite) number of values, while a continuous distribution means that X can assume one of an infinite (uncountable) number of different values.

**How do you know if a variable is continuous or discrete?**

Discrete and continuous variables are two types of quantitative variables: Discrete variables represent counts (e.g. the number of objects in a collection). Continuous variables represent measurable amounts (e.g. water volume or weight).

### How do you know if a distribution is discrete?

How Do You Know If a Distribution Is Discrete? If there are only a set array of possible outcomes (e.g. only zero or one, or only integers), then the data are discrete.

**What are 3 examples of discrete data?**

Examples of discrete data:

- The number of students in a class.
- The number of workers in a company.
- The number of parts damaged during transportation.
- Shoe sizes.
- Number of languages an individual speaks.
- The number of home runs in a baseball game.
- The number of test questions you answered correctly.

**What is an example of continuous distribution?**

A continuous distribution is used to represent a variable that can take any value within a defined range (domain). For example, the height of an adult English male picked at random will have a continuous distribution because the height of a person is essentially infinitely divisible.

#### What are 5 examples of continuous data?

Examples of continuous data:

- The amount of time required to complete a project.
- The height of children.
- The amount of time it takes to sell shoes.
- The amount of rain, in inches, that falls in a storm.
- The square footage of a two-bedroom house.
- The weight of a truck.
- The speed of cars.
- Time to wake up.

**Is age continuous or discrete?**

Mondal[1] suggests that age can be viewed as a discrete variable because it is commonly expressed as an integer in units of years with no decimal to indicate days and presumably, hours, minutes, and seconds.

**How do you know if a distribution is continuous?**

A continuous distribution has a range of values that are infinite, and therefore uncountable. For example, time is infinite: you could count from 0 seconds to a billion seconds…a trillion seconds…and so on, forever. A discrete distribution has a range of values that are countable.

## Is time a discrete or continuous?

continuous variable

Time is a continuous variable. You could turn age into a discrete variable and then you could count it. For example: A person’s age in years.

**Is salary continuous or discrete?**

For example, salary levels and performance classifications are discrete variables, whereas height and weight are continuous variables.

**Is Money continuous or discrete?**

discrete variable

Because money comes, in clear steps of one cent, it’s a discrete variable, as well. In theory, the restaurant could make any amount of money. However, the revenue is still discrete.

### Is age discrete or continuous?

**Is IQ discrete or continuous?**

discrete

IQ test scores don’t increment in decimals, but in whole numbers (e.g., 138, 140, 150 etc.). In other words, IQ tests only provide discrete scores [not continuous] (No body can get an IQ score of 115.568…).

**Is size Of Shoes discrete or continuous?**

1. Shoe size is whole number (discrete), but the underlying measure is foot length which is measurement (continuous) data. Even half sizes are still not really measurement but “whole number”, because there is nothing between size 8 and 8 1/2.