Continuous Data - Definition & Examples - Expii (2024)

FAQs

Continuous Data - Definition & Examples - Expii? ›

Continuous is something that can and must be able to be broken down into fractions and decimals. Continuous situations are said to be measured, we can measure them. An example of this would be height. When figuring out if a graph is continuous or discrete we see if all the points are connected.

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

A continuous data set (the focus of our lesson) is a quantitative data set that can have values that are represented as values or fractions. Weight, height, temperature, etc. are examples of measurement that would make up a continuous data set. Always remember this: you can't have half a basketball.

Examples of continuous data include weight, height, length, time, and temperature. Frequently, you'll use histograms and scatterplots to graph continuous data. These graphs are designed to handle values that fall on a continuous spectrum and have decimal places.

Continuous data is a type of quantitative data that represents precise measurements of nearly any numeric value. Often, a continuous data variable has many decimal points because it's an exact measurement between two defined points.

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.

The variable "time" ranges over the entire real number line, or depending on the context, over some subset of it such as the non-negative reals. Thus time is viewed as a continuous variable.

Examples of frequent discrete data include the number of students, children, shoe size, and so forth. Some common continuous data types are height, weight, time, temperature, age, etc.

An example of a continuous variable is temperature as we can have decimals while measuring temperature and it can take on any value in an interval.

Continuous situations are said to be measured, we can measure them. An example of this would be height. When figuring out if a graph is continuous or discrete we see if all the points are connected. If the line is connected between the start and the end, we say the graph is continuous.

How to present continuous data? ›

Continuous data are measured on a scale or continuum (such as weight or test scores). Histograms are useful for displaying continuous data. Bar graphs, line graphs, and histograms have an x- and y-axis. The x-axis is the horizontal part of the graph and the y-axis is the vertical part.

Box Plots. Box Plots are the best way to display the distribution of a single continuous variable that needs to be plotted against a categorical variable.

Continuous variables are also known as quantitative variables. Continuous variables can be further categorized as either interval or ratio variables.

Answer and Explanation:

Since we know that temperature, height, and time are continuous variables, the number of children in a family is a distinct and separate integer and is the only non-continuous variable of the choices.

Continuous data is also referred to as field, nondiscrete, or surface data.

Most physical measures, such as height, weight, systolic blood pressure, distance etc., are interval or ratio scales, so they fall into the general "continuous " category.

On the other hand, age, income, or exam scores are all continuous: a number (value) can exist between any two given values, depending on how precise you want your measurement to be. To take age, for example, if two people report being 20 and 22, respectively, it's obviously possible that another person in 21.

Continuous time-series data

This type of data is collected continuously over time, without any interruption. Examples include temperature measurements recorded every hour or stock prices updated every second.