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

discrete data vs continuous data

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