# Discrete Or Continuous Data Set Flashcards, test questions and answers

Discover flashcards, test exam answers, and assignments to help you learn more about Discrete Or Continuous Data Set and other subjects. Don’t miss the chance to use them for more effective college education. Use our database of questions and answers on Discrete Or Continuous Data Set and get quick solutions for your test.

## What is Discrete Or Continuous Data Set?

Discrete and continuous data sets are two different types of data sets that are used in various fields of study. Discrete data sets consist of a finite set of values that can take on only certain values within a given range. By contrast, continuous data sets consist of an infinite number of possible values and can take on any value within a given range. Discrete data sets are typically used for counting activities, such as the number of people in a classroom or the number of cars passing through an intersection. This type of data set is also used in areas like polling, where it is necessary to determine how many people support one candidate over another. In addition, discrete data sets can be used to identify trends from large datasets by identifying key points or clusters within the dataset. Continuous data sets typically involve measuring physical properties like temperature or speed. This type of dataset is most commonly used in science experiments and medical studies where precise measurements need to be taken over time in order to draw conclusions about the phenomenon being studied. Continuous datasets can also be used to predict future outcomes based on past behavior by using regression models which use linear equations to model relationships between variables. Overall, both discrete and continuous datasets have their own uses depending on the nature of the research being conducted or questions being asked. While discrete datasets are more useful for counting activities and identifying trends from large amounts of information, continuous datasets provide more accuracy when measuring physical properties and predicting future outcomes based on past behavior.