What is the difference between discrete and continuous data




















To accurately represent discrete data, the bar graph is used. Histogram or line graphs are used to represent continuous data graphically. A diagram of the discrete function shows a distinct point that remains unconnected. While in a continuous function graph, the points are connected with an unbroken line. Discrete data contains distinct or separate values. Continuous data includes any value within the preferred range. Both discrete and continuous data are valuable for all sorts of data-driven decisions.

Valuable research and insights are made by combining both sets of data. Here are some examples where discrete and continuous data can be used:. Marketing and advertising. Before engaging in any marketing or advertising campaign, companies need to analyze internal and external factors that may affect the marketing campaigns. In most cases, marketing professionals are using SWOT analysis. The primary objective of this analysis is to help companies develop a full awareness of all the factors involved in making data-driven decisions.

Numerical types of data are popular among researchers due to their compatibility with most statistical techniques. Discrete and continuous data helps to ease the research process. Population analysis.

Using trends analysis, researchers gather the data on various rates in a country or a region for a certain period and predict future populations. This might include birth, death rates, languages popularity, et cetera. Predicting a country's demographics plays a vital role in economics. Product development. Product researchers use total unduplicated reach and frequency analysis TURF to investigate if a new product or service will have the demand and will be well-received in the target market during the product development stage.

However, the implementation of discrete or continuous data might not always provide accurate results, as there are challenges related to only analyzing numerical data. Just remember that the discrete vs continuous examples highlight their key summary features quite well. For the discrete variable, we know that its specific and conclusive nature distinguishes it while for the continuous variable we know that it can take on infinite values. These features form the basis for the underlying principles of the statistics of continuous and discrete variables.

One is dynamic continuous , whereas the other is static still and unchanging. How do you know if something is a continuous vs discrete variable? Related Posts. Difference Between Latitude vs Longitude.

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You also have the option to opt-out of these cookies. For example, you can measure your weight with the help of a scale. So, your weight is not a discrete data. It has a limited number of possible values e.

Discrete data is graphically displayed by a bar graph. Examples of discrete data: The number of students in a class. The number of workers in a company. The number of parts damaged during transportation. Shoe sizes. Number of languages an individual speaks. The number of home runs in a baseball game.

The number of test questions you answered correctly. Instruments in a shelf. The number of siblings a randomly selected individual has. What is Continuous Data? Definition, Examples, and Explanation As we mentioned above the two types of quantitative data numerical data are discrete and continuous data.

How to display graphically continuous data? Continuous data key characteristics: In general, continuous variables are not counted. The values can be subdivided into smaller and smaller pieces and they have additional meaning. The continuous data is measurable. It has an infinite number of possible values within an interval.

Continuous data is graphically displayed by histograms. Examples of continuous data: The amount of time required to complete a project. The height of children. The amount of time it takes to sell shoes. The amount of rain, in inches, that falls in a storm. The square footage of a two-bedroom house. The weight of a truck.

Discrete data can take on only integer values whereas continuous data can take on any value. For instance the number of cancer patients treated by a hospital each year is discrete but your weight is continuous. Some data are continuous but measured in a discrete way e. It is common to report your age as say, Discrete data perticularly talks about the finite values and continuous data talks about ifinite values Sign up to join this community.

The best answers are voted up and rise to the top. Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams? Learn more. What is the difference between discrete data and continuous data?

Ask Question. Asked 11 years, 3 months ago. Active 1 year, 9 months ago. Viewed 1. Improve this question. Jeromy Anglim Albort Albort 1 1 gold badge 9 9 silver badges 10 10 bronze badges. For me, it gives this. Same thing - different names.

For some reasons, intro stat classes seem to really enjoy making students memorize rules to distinguish these two things. As far as I've been able to understand, the differences are not in the data--but in how we choose to model the data. Show 1 more comment. Active Oldest Votes. It sometimes makes sense to treat discrete data as continuous and the other way around : For example, something like height is continuous, but often we don't really care too much about tiny differences and instead group heights into a number of discrete bins -- i.

It seldom makes sense to consider categorical data as continuous. Improve this answer. Xanlantos 3 3 bronze badges. Some very interesting further points were made in response to this follow-up question. They don't come up all that often in practice, but it's perfectly possible for them to come up for real; indeed I can think of two distinct if related examples that can easily arise.



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