# Discrete data type examples

##### 2020-02-19 14:57

1. 2 Discrete Data Types and Examples. Printerfriendly version. Measures on categorical or discrete variables consist of assigning observations to one of a number of categories in terms of counts or proportions. The categories can be unordered or ordered (see below).The difference between discrete and continuous data can be drawn clearly on the following grounds: Discrete data is the type of data that has clear spaces between values. Continuous data is data that falls in a continuous sequence. Discrete data is countable while continuous data is measurable. Discrete data contains distinct or separate values. discrete data type examples

Discrete data may be also nominal where the data fit into one or more categories where there is no any order between the values. For example, the eye color can fall in one of these categories: blue, green, brown. Examples of discrete data: The number of students in

Discrete Data In Healthcare Feb 23, 2017 Dave Newman Here is a quick read on a concept that is very important to analysts, project managers, and clinicians who work with just about any Healthcare IT system: discrete data in Healthcare. Quantitative Flavors: Continuous Data and Discrete Data. Continuous data, on the other hand, could be divided and reduced to finer and finer levels. For example, you can measure the height of your kids at progressively more precise scalesmeters, centimeters, millimeters, anddiscrete data type examples Answer Wiki. While such data can potentially reach infinity, none of the values in a data set can be subdivided or broken down into a smaller unit and add additional meaning. For example, the number of parts damaged in shipment. Discrete data can be numeric like numbers of apples but can also be categorical like red or blue,

## Discrete data type examples free

Discrete and Continuous Data. The amount of time it takes to sell the cupcakes is an example of continuous data. You can remember this by remembering that time itself is continuous and never ending. Also, you can divide time infinitely. There are centuries, decades, years, months, weeks, days, hours, minutes, seconds, milliseconds, microseconds, nanoseconds and so on. discrete data type examples Continuous Data. Continuous Data can take any value (within a range) Examples: A person's height: could be any value (within the range of human heights), not just certain fixed heights, Time in a race: you could even measure it to fractions of a second, A dog's weight, The length of a leaf, Lots more!

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