Is the height of a randomly selected person a discrete random?

Is the height of a randomly selected personheight of a randomly selected person a discrete random​ variable, continuous random​ variable, or not a random​ variable? It is a discretediscrete random variable.

Is height a discrete random variable?

In general, quantities such as pressure, height, mass, weight, density, volume, temperature, and distance are examples of continuous random variables. This is not the case for discrete random variables, because between any two discrete values, there is an integer number (0, 1, 2.) of valid values.

Is height discrete or continuous?

Height, weight, temperature and length are all examples of continuous data.

Is height a 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. A continuous random variable is not defined at specific values.

Is square footage a discrete or continuous variable?

It depends to what accuracy it is measured, but essentially and for practical purposes it is probably best treated as continuous. If it was always rounded to the nearest 100 square feet then you might treat it as discrete.

Is the exact time it takes to evaluate 67 29 A discrete random variable?

Is the exact time it takes to evaluate 67 + 29 a discrete random variable, continuous random variable, or not a random variable? O A. It is a discrete random variable.

Can height be a discrete 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. Statistics computed from discrete variables have many more possible values than the discrete variables themselves.

Is how tall you are a discrete variable?

As a result, we can say, that height is a continuous variable. Because we cannot define a specific set of values, that incorporate every possible height of any human being. To think of it another way, let’s assume, that any human in the world, will be between 0.5 and 2.5 meters tall.

What is discrete example?

Discrete data is information that can only take certain values. These values don’t have to be whole numbers (a child might have a shoe size of 3.5 or a company may make a profit of £3456.25 for example) but they are fixed values – a child cannot have a shoe size of 3.72!

How do you know if it is discrete or continuous?

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.

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.

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

A discrete variable is a variable whose value is obtained by counting. A continuous variable is a variable whose value is obtained by measuring. A random variable is a variable whose value is a numerical outcome of a random phenomenon. A discrete random variable X has a countable number of possible values.

Is the height of a randomly selected person?

Is the height of a randomly selected personheight of a randomly selected person a discrete random​ variable, continuous random​ variable, or not a random​ variable? Is the response to the survey question “Did you smoke in the last week question mark “response to the survey question “Did you smoke in the last week?”

Is the shoe size a discrete random variable?

Shoe size is also a discrete random variable. Blood type is not a discrete random variable because it is categorical. Continuous random variables have numeric values that can be any number in an interval.

How to use discrete random variables in statistics?

Use probability distributions for discrete and continuous random variables to estimate probabilities and identify unusual events. Distinguish between discrete random variables and continuous random variables.

Is the square footage of a house a discrete random variable?

Is the square footage of a house square footage of a house a discrete random​ variable, a continuous random​ variable, or not a random​ variable? Is the square footage of a poolsquare footage of a pool a discrete random​ variable, continuous random​ variable, or not a random​ variable?