Is height continuous or discrete?

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

Is your height a discrete 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. Discrete random variables are considered countable values, since you could count a whole number of them.

Is your height in cm discrete or continuous?

Continuous is measurements like height, weight where you can have two values - 180 cm and 190 cm but you could have any number in between. Discrete measures like trees, desk, shoe sizes are when it is usually whole numbers and you cannot have a number in between.

Is height a continuous data?

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

Why Is height a continuous variable?

Continuous variables

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.

Continuous vs Discrete Data

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.

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 length a discrete or continuous variable?

Continuous random variables are often measurements, such as weight or length. We view measurements as continuous even though the limitations of a ruler or a scale give discrete measurements.

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 distance continuous or discrete?

Distance is known most often as a continuous variable as it can take up and R number. something like the amount of people hit a home run in a game would be discrete as that value can only be a N number as you can not have 1.3 people hit a home run.

Is height an interval variable?

A ratio variable, has all the properties of an interval variable, but also has a clear definition of 0.0. When the variable equals 0.0, there is none of that variable. Variables like height, weight, enzyme activity are ratio variables. Temperature, expressed in F or C, is not a ratio variable.

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.

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.

Is weight nominal or ordinal?

Weight is measured on the ratio scale. Ratio: exactly the same as the interval scale except that the zero on the scale means: does not exist. For example, a weight of zero doesn't exist; an age of zero doesn't exist.

Is weight an interval or ratio?

Ratio data has a defined zero point.

Income, height, weight, annual sales, market share, product defect rates, time to repurchase, unemployment rate, and crime rate are examples of ratio data.

Is height an interval or ratio?

Physical characteristics of persons and objects can be measured with ratio scales, and, thus, height and weight are examples of ratio measurement.

Is weight quantitative discrete or continuous?

Weights are quantitative continuous data because weights are measured.

Are weights discrete or continuous?

Bookmark this question. Show activity on this post. 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.

Which of the following are examples of continuous variables?

Examples of continuous variables are body mass, height, blood pressure and cholesterol. A discrete quantitative variable is one that can only take specific numeric values (rather than any value in an interval), but those numeric values have a clear quantitative interpretation.

What type of variable is a person's height measured in feet?

Some examples of variables that can be measured on a ratio scale include: Height: Can be measured in centimeters, inches, feet, etc. and cannot have a value below zero.

What are examples of interval variables?

Examples of interval variables include: temperature (Farenheit), temperature (Celcius), pH, SAT score (200-800), credit score (300-850).

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.

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.