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Related Concept Videos

What is a Frequency Distribution00:51

What is a Frequency Distribution

25.9K
A frequency is the number of times a value of the data occurs. The sum of all the frequency values represents the total number of students included in the sample. It is commonly used to group data of quantitative types. Frequency distributions can be displayed in a table, histogram, line graph, dot plot, or pie chart, just to name a few. A histogram is a graphical representation of tabulated frequencies, shown as adjacent rectangles, erected over discrete intervals (bins), with an area equal to...
25.9K
Percentage Frequency Distribution00:57

Percentage Frequency Distribution

62.4K
A percentage frequency distribution, in general, is a display of data that indicates the percentage of observations for each data point or grouping of data points. It is a commonly used method for expressing the relative frequency of survey responses and other data. The percentage frequency distributions are often displayed as bar graphs, pie charts, or tables.
The process of making a percentage frequency distribution involves the following few steps: note the total number of observations;...
62.4K
Construction of Frequency Distribution01:15

Construction of Frequency Distribution

11.9K
A frequency distribution table can be constructed using the steps given below.
First, make a table with two columns—one with the title of the data that needs to be organized, and the other column for frequency. [Draw a third column for tally marks if needed]. Then, take a look at the items given in the data set and decide if an ungrouped frequency distribution table or a grouped frequency distribution table would be more suitable. If there are large sets of different values, then it is...
11.9K
Relative Frequency Histogram01:14

Relative Frequency Histogram

6.3K
The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
6.3K
Ogive Graph01:07

Ogive Graph

6.6K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
6.6K
Histogram01:05

Histogram

16.9K
The histogram is a graphical representation in the x-y form of data distribution in a data set. The horizontal x-axis is labeled with what the data represents (for instance, distance from your home to school). The vertical y-axis is labeled either frequency or relative frequency (or percent frequency or probability).
A histogram graph consists of contiguous (adjoining) boxes. The heights of the bars correspond to frequency values. The graph will have the same shape with respective labels. The...
16.9K

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Related Experiment Video

Updated: Jan 4, 2026

Visualizing Stromule Frequency with Fluorescence Microscopy
08:27

Visualizing Stromule Frequency with Fluorescence Microscopy

Published on: November 23, 2016

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[Visualization of frequency distribution].

J Y Wang1, Z G Ping

  • 1College of Public Health, Zhengzhou University, Zhengzhou 450001, China.

Zhonghua Yu Fang Yi Xue Za Zhi [Chinese Journal of Preventive Medicine]
|November 5, 2019
PubMed
Summary
This summary is machine-generated.

This study explores common statistical graphs for data visualization and frequency distribution. It provides practical examples for qualitative and quantitative variables to aid readers in applying these essential statistical tools.

Keywords:
Data visualizationFrequency distributionStatistical chart

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Area of Science:

  • Statistics
  • Data Visualization

Background:

  • Statistical graphs are vital for data description and understanding.
  • Effective data visualization enhances the interpretation of statistical information.

Purpose of the Study:

  • To introduce common statistical charts used for frequency distribution.
  • To detail the characteristics and practical applications of these charts.
  • To serve as a reference for readers in selecting and applying appropriate statistical graphs.

Main Methods:

  • Review of common statistical charts for frequency distribution.
  • Analysis of chart characteristics for qualitative and quantitative variables.
  • Inclusion of practical examples to illustrate applications.

Main Results:

  • Identification and description of key statistical charts for frequency analysis.
  • Explanation of how different charts apply to qualitative and quantitative data.
  • Demonstration of chart utility through real-world examples.

Conclusions:

  • Understanding statistical charts is crucial for accurate data representation.
  • The choice of chart depends on the type of variable (qualitative or quantitative).
  • This paper offers a practical guide for effective use of statistical graphs in data analysis.