Is height An example of discrete data?

1 Answer. Continuous: Height, weight, annual income. Discrete: Number of children, number of students in a class. Continuous data (like height) can (in theory) be measured to any degree of accuracy.

Is height a discrete data?

Continuous data is data that can take any value. Height, weight, temperature and length are all examples of continuous data.

Is height data discrete or continuous?

Explanation: Discrete data is data where it has to be from a certain set of values e.g a shoe size can only be a certain value. The height is continuous as the height could take multiple values e.g from 10m all the way up 18.95m.

Is height An example of discrete variable?

A discrete variable is one that cannot take on all values within the limits of the variable. For example, responses to a five-point rating scale can only take on the values 1, 2, 3, 4, and 5. The variable cannot have the value 1.7. A variable such as a person's height can take on any value.

What is an example of discrete data?

Examples of discrete data

The number of customers who bought different items. The number of computers in each department. The number of items you buy at the grocery store each week.

Continuous vs Discrete Data

Is length discrete or continuous?

Length of a film is a continuous variable. Number of pages in a book is a discrete variable. Shoe size is a Discrete variable. E.g. 5, 5½, 6, 6½ etc.

Is distance discrete or continuous?

In general, quantities such as pressure, height, mass, weight, density, volume, temperature, and distance are examples of continuous random variables.

What type of data is height?

Quantitative data is numerical. It's used to define information that can be counted. Some examples of quantitative data include distance, speed, height, length and weight.

What type of variable is height?

Age, Weight, and Height are quantitative variables.

Why height is a continuous data?

A variable is said to be continuous if it can assume an infinite number of real values within a given interval. For instance, consider the height of a student. The height can't take any values. It can't be negative and it can't be higher than three metres.

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.

Why is height and weight a continuous variable?

Continuous variables can take on almost any numeric value and can be meaningfully divided into smaller increments, including fractional and decimal values. You often measure a continuous variable on a scale. For example, when you measure height, weight, and temperature, you have continuous data.

Is height quantitative or qualitative?

Quantitative data is information about quantities; that is, information that can be measured and written down with numbers. Some examples of quantitative data are your height, your shoe size, and the length of your fingernails.

What type of variable is height in cm?

A ratio-scale variable is an interval variable with a true zero point, such as height in centimeters or duration of illness.

Is age discrete or 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.

Is volume continuous or discrete?

Volume is continuous, so the amount of water would be represented by a continuous random variable. The number of minutes is countable, so it would be a discrete variable.

Which variables are always discrete?

Discrete variables are numeric variables that have a countable number of values between any two values. A discrete variable is always numeric. For example, the number of customer complaints or the number of flaws or defects.

Is the value from a discrete or continuous data set your height in centimeters?

If we're measuring someone's height in centimeters, the possible values are any positive number of centimeters and fractions of centimeters. There are two different ways to classify data based on the possible values we can observe. Data is discrete if there's clear separation between the different possible values.

Is height a categorical variable?

The variable plant height is a quantitative variable because it takes on numerical values. For example, the height could be 15 inches, 17.5 inches, 19.2 inches, etc.

Is height and weight nominal?

“A person's height” is ratio data. Nominal data has values that have no numerical meaning, such as a person's gender (M, F) or possible colors of a new Chevy Cruz this year.

Is height An example of ordinal scale?

In addition to the fact that the ratio scale does everything that a nominal, ordinal, and interval scale can do, it can also establish the value of absolute zero. The best examples of ratio scales are weight and height.

What is nominal data examples?

Nominal data are used to label variables without any quantitative value. Common examples include male/female (albeit somewhat outdated), hair color, nationalities, names of people, and so on. In plain English: basically, they're labels (and nominal comes from "name" to help you remember).

Is your weight a discrete variable?

So it is obvious that weight is a continuous variable as it can be quantified with decimal precision;like 10.2 kg and 3.0122 kg. If we were to round it to an integer like 10 kg and 3 kg.

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. 2.

Is depth discrete or continuous?

Depth of snowfall is a continuous variable. This is because depth of snowfall can be equal to a value of 0 in event that no snowfall occurs.