Discrete vs continuous data - comparison chart
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This document compares and contrasts discrete and continuous data. Discrete data has clear separations between values and can be counted in whole numbers, while continuous data falls along a continuous sequence and can be measured to finer degrees. Examples of discrete data include the number of students in a class or home runs in a game. Examples of continuous data include time, height, weight, and rainfall amounts. Discrete data is represented graphically with bar charts while continuous data uses histograms.
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Discrete vs continuous data - comparison chart
- 1. Points Discrete Data Continuous Data Meaning Discrete data has clear spaces between values. Continuous data falls on a continuous sequence. Yes, data is usually units counted in whole numbers. Generally, NO Can you measure the data? NO YES Examples 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. intellspot.com Can you count the 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. The speed of cars. Time to wake up. Values It has a finite number of possible values. The values cannot be divided into smaller pieces and add additional meaning. It has an infinite number of possible values within an interval. The values can be subdivided into smaller and smaller pieces. Graphical Representation Bar Chart Histogram 0 10 20 30 40 50 Item 1 Item 2 Item 3 Item 4 Item 5