MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Step 1: Defining the terms for the generating the frequency distribution
- Cumulative Frequency: The total frequency for values or categories in the data set shall be a cumulated frequency. This indicates the number of data points that are below or equal to a specific value or category.
- Relative Frequency: Relative frequency refers to the proportion of data points belonging to a particular category or class, in relation to the total number of data points. A fraction or decimal may be used to express it.
- Relative Percent: The relative frequency of the percentage expressed as a percentage is Relative percent. This is a percentage of the data points in one category relative to the total, but can be used as an indicative value for easier comparison and interpretation.
- Cumulative Percent: Cumulative percentages are similar in frequency to cumulative percentages, but expressed as percentage values. It's a graph of the total relative frequencies that are shown in percentages as you go over the data.
- Histogram: A histogram is a graphic representation of how the data are distributed. It consists of bars where the height of each bar corresponds to the frequency or relative frequency of data points falling into a specific range or category. Histograms help to get a view of data distribution.
- Ogive: A graph representing the cumulative frequency or cumulative percent as a function of the data values or categories is an ogive, also known as the cumulative frequency curve. This gives a visual indication of how data have been collected or distributed across the dataset.
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