The data we've looked at, throughout this course, have had a fixed range of values. So they cannot be broken down into decimal or fraction. Continuous random variable can be height, weight, length, mass, time, amounts and many more. Your weight is not a specific fixed number. We can compare discrete and continuous data by looking at how water comes out of a tap. Example. Discrete Data can only take certain values. Continuous data can take on any value as it’s measured. This data is known as, Discrete Data. A race can be timed to a millisecond. Discrete Data. Definition of Discrete Data. When looking at a set of numbers, they are typically discrete (countable) variables or continuous (measurable) variables. Your weight can be any weight within the range of human weights. It is continuous because it is infinite. Discrete data contains a finite level of variance in the data points or intervals whereas contrary to this continuous data contains an infinite degree of variance in the sequential data patterns. Discrete vs continuous data. 0 Votes 1 Answer from the example about weight being continuous, I would like to clarify my understanding of the difference between discrete and continuous numerical data. Discrete vs Continuous data Sayed Maguire 1 year ago. We have not yet encountered data that could take any value within a defined range, known as, Continuous Data.. Comparing discrete and continuous data. This will certainly affect how it is measured as well. Discrete data only includes values that can only be counted in integers or whole numbers. What is the difference between discrete and continuous data? Time in a race. Again it’s not set to a specific fixed number. Point and line GIS data such as tree locations, rivers, and streets all fall into the category of discrete datasets. It contains finite values, so subdivision isn’t possible. Continuous random variables explained. In this lesson, we'll explore the difference between discrete and continuous data. (1) The difference basically occurs because of an unbound precision in the numeric data. For example: Your weight. How you study this data should differ based on which group it falls into. Vote Up Vote Down. Continuous Data. Discrete data is geographic data that only occurs in specific locations. Discrete data is the type of quantitative data that relies on counts. Discrete data values being finite can even be predicted whereas, on the other hand, continuous data possess infinite values that cannot be predicted. For polygon data, discrete data has well defined boundaries. Discrete Data vs. 'Ve looked at, throughout this course, have had a fixed range human... Be height, weight, length, mass, time, amounts and many more data! 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