Can data be both discrete and continuous?

Discrete data take particular values, while continuous data are not restricted to separate values. Discrete data are distinct and there is no grey area in between, while continuous data occupy any value over a continuous data value.

Considering this, can data be discrete and continuous?

Key Differences Between Discrete and Continuous Data Discrete data is the type of data that has clear spaces between values. Discrete data is countable while continuous data is measurable. Discrete data contains distinct or separate values. On the other hand, continuous data includes any value within range.

Also, what is discrete and continuous data examples? Discrete data have finite values, or buckets. You can count them. Continuous data technically have an infinite number of steps, which form a continuum. The number of questions correct would be discrete--there are a finite and countable number of questions. Here are some examples of discrete and continuous data.

Simply so, can a random variable be both discrete and continuous?

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. A continuous random variable X takes all values in a given interval of numbers.

What are some 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. Tables and graphs are two ways to show the discrete data that you collect.

What is an example of continuous data?

Continuous data sets would consist of values like height, weight, length, temperature, and other measurements like that. They're things that can be measured in fractions and decimals. Usually a tool, like a ruler, measuring tape, scale, or thermometer, is required to produce the values in a continuous data set.

Is shoe size 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.

Is age discrete or continuous?

Answer: Continuous if looking for exact age, discrete if going by number of years. If a data set is continuous, then the associated random variable could take on any value within the range.

Are salaries discrete or continuous?

Strictly speaking, it is a discrete variable, given that there is a basic unit of 1p below which measurements cannot be taken. However, 1p is so small in relation to an annual salary (even the annual salary of a teacher) that in practice it is treated like a continuous variable.

Is Money discrete or continuous?

The half of a penny cannot be valued, unless we had a half a penny coin, therefore is discrete. However, money is continuous because it can have many and any value and be of any amount, considerably. For example, pay, whereas it can have an infinite value.

What is discrete vs continuous data?

Is temperature a continuous variable?

Temperature is a continuous variable because its value can assume any value from the set of real numbers between -273 degrees Celsius (absolute zero) to positive infinity. 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 weight a continuous variable?

In general, a continuous variable is one that is measured, not counted. Height, for example, is measured. Weight is measured. Temperature, time, distance - all are continuous variables.

Is height a continuous variable?

Continuous variables Examples of a continuous variable are distance, age and temperature. For example, the height of a student is a continuous variable because a student may be 1.6321748755 metres tall. However, when the height of a person is measured, it is usually measured to the nearest centimetre.

What is an example of a discrete random variable?

A discrete variable is a variable which can only take a countable number of values. In this example, the number of heads can only take 4 values (0, 1, 2, 3) and so the variable is discrete. The variable is said to be random if the sum of the probabilities is one. Probability Density Function.

Which distributions are continuous?

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.

Is time a 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 height a discrete variable?

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 definition of continuous data?

continuous data is quantitative data that can be measured. • it has an infinite number of possible values within. a selected range e.g. temperature range. discrete data. • discrete data is quantitative data that can be counted.

Is eye color discrete or continuous?

And clearly hair color, skin color and eye color all fall under the definition of a continuous trait, because even though they dont seem to be affected by the environment, they are definitely polygenic traits and show a gradation, so they're definitely continuous traits.

Is race discrete or continuous?

Race is a nominal categorical variable. The terms discrete and continuous only apply to interval or ratio variables.

Is hair color discrete or continuous?

For example, number of books is a discrete random variable. On the other hand, hair color is not a random variable because hair color is not numeric. Also, any decimal between 0 and 1 is not discrete because we cannot list out all the decimals.

Is gender a discrete variable?

However, a person's gender, occupation, or marital status are categorical or discrete variables: either a person is male or female, never married, married, or divorced, etc. Some variables could be considered in either way.

Is grade level discrete or continuous?

Ordinal (ordered) variables, e.g., grade levels, income levels, school grades. Discrete interval variables with only a few values, e.g., number of times married. Continuous variables grouped into small number of categories, e.g., income grouped into subsets, blood pressure levels (normal, high-normal etc)