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## How do you know if a probability is discrete or continuous?

**For a discrete distribution, probabilities can be assigned to the values in the distribution** – for example, “the probability that the web page will have 12 clicks in an hour is 0.15.” In contrast, a continuous distribution has an infinite number of possible values, and the probability associated with any particular …

## What are the real life examples 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.
- The number of people in line at McDonald’s on a given day and time.

## Is probability a continuous variable?

**If a random variable is a continuous variable, its probability distribution is called a continuous probability distribution**. A continuous probability distribution differs from a discrete probability distribution in several ways. The probability that a continuous random variable will assume a particular value is zero.

## Which probability distribution is continuous?

Continuous probability distribution: **A probability distribution in which the random variable X can take on any value** (is continuous). Because there are infinite values that X could assume, the probability of X taking on any one specific value is zero.

## What is discrete in probability?

A discrete probability distribution **counts occurrences that have countable or finite outcomes**. This is in contrast to a continuous distribution, where outcomes can fall anywhere on a continuum. Common examples of discrete distribution include the binomial, Poisson, and Bernoulli distributions.

## What are the real life examples of continuous probability distribution?

Many real life problems produce a histogram that is a symmetric, unimodal, and bell-shaped continuous probability distribution. For example: **height, blood pressure, and cholesterol level**.

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

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.

## Is age a discrete or continuous?

Continuous

Is Age Discrete or Continuous? Technically speaking, age is a **continuous variable** because it can take on any value with any number of decimal places.

## What is the difference between continuous and discrete?

Discrete data is a numerical type of data that includes whole, concrete numbers with specific and fixed data values determined by counting. Continuous data includes complex numbers and varying data values that are measured over a specific time interval.

## 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 gender discrete or continuous?

Variable Reference Table : Few Examples

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

Temperature | Continuous | Interval |

Length | Continuous | Ratio |

Product ID in Numbers | Discrete | Nominal |

Gender | Discrete |
Categorical |

## Is time continuous or discrete?

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 hours discrete or continuous?

continuous

It depends how did you record the time, e.g. **if you count days, or record hours rounded to the nearest hour then it is rather discrete**; when you record days, hours and minutes of something happening, then it is closer to continuous.

## What are examples of discrete data?

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**.

## Is the length of a phone call discrete or continuous?

It is also a **discrete variable** because one can simply count the number of phone calls made on a cell phone in any given day. The possible numbers are only integers such as 0, 1, 2, … , 50, etc. (Some of you probably make a lot of cell phone calls.)

## Is temperature discrete or continuous?

continuous variable

Temperature is **continuous variable** as it does have fractional value too. For example: Today’s temperature is 30. 5 degree Celsius, here 30. 5 is not a discrete variable and hence is a continuous variable.

## Is the weight of a newborn baby discrete or continuous?

It is infinite. Here **random variable** is weight of new born babies. Weight can take infinite number of values.

## Is blood pressure discrete or continuous?

Is blood pressure an example of continuous or discrete data? Blood pressure is an example of **continuous data**. Blood pressure can be measured to as many decimals as the measuring instrument allows.

## Is death discrete or continuous?

numerical discrete

Mortality (eg. 20 patients dead at 6 months) is an example of numerical **discrete** data values.

## Is gender a discrete variable?

**Gender can be a continuous variable**, not just a categorical one: Comment on Hyde, Bigler, Joel, Tate, and van Anders (2019)