Types of Histogram
The following are some typical forms of histograms and their characteristics:
Uniform Histogram
A uniform distribution means that the data is uniformly distributed among the classes, with each having a same number of elements. It may display many peaks, suggesting varying degrees of incidence.
Bimodal Histogram
A histogram is called bimodal if it has two distinct peaks. This implies that the data consists of observations from two distinct groups or categories, with notable variations between them.
Symmetric Histogram
Symmetric Histogram is also known as a bell-shaped histogram, it has perfect symmetry when divided vertically down the centre, with both sides matching each other in size and shape. The balance reflects a steady distribution pattern.
Right-Skewed Histogram
A right-skewed histogram shows bars leaning towards the right side. This signifies that the majority of the data points are on the left side, with a few outliers reaching to the right. Consider a histogram showing the distribution of family earnings. A right-skewed histogram occurs when the majority of families are in lower income groups, but a small number of highly rich households skew the average income.
Left-Skewed Histogram
A left-skewed histogram shows bars that lean towards the left side. This means that the majority of the data points are on the right side, with a few exceptionally low values extending to the left. Consider a histogram reflecting the distribution of test scores in a classroom. A left-skewed histogram occurs when the majority of students receive excellent grades but a few do badly, resulting in an average that is dragged to the left.
Frequency Histogram
A frequency histogram visually displays how often specific values appear in data. Each bar represents a range of values, with its height indicating the frequency of occurrences. For instance, if we’re tracking study hours, the histogram shows how many students fall into each study time range, offering insights into study habits across the student population.
Relative Frequency Histogram
Relative Frequency Histogram displays proportions instead of exact counts for each interval. For example, in a class of 20 students, it might show that 25% scored between 70 and 80%. Relative frequency histograms offer insights into the occurrence of distinct values and distribution patterns within a dataset.
Cumulative Frequency Histogram
A cumulative frequency histogram is a graph that depicts the total number of values up to a specific point. Instead of displaying the frequency of each individual number, it shows the cumulative frequency, which increases as you walk down the graph.
For example, if you’re graphing test scores, the height of each bar shows the total number of points received to that moment. So, if the first bar displays a frequency of 10 for scores 0-10 and the second bar shows a frequency of 20 for scores 0-20, it indicates that 20 students scored 20 or below.
Cumulative Relative Frequency Histogram
A Cumulative Relative Frequency Histogram is a histogram that depicts the percentage of data points in a dataset that fall below a specific number. Each bar indicates the sum of relative frequencies up to a certain point.
For example, if we have test results ranging from 0 to 100, the histogram will show the percentage of students that scored below each level. If 30% of students scored less than 70, the bar for 70 would be 30% higher.
Histogram – Definition, Types, Graph, and Examples
Histogram: A histogram is a graphical representation used in statistics to show the distribution of numerical data. It looks somewhat like a bar chart, but with key differences that make it suitable for showing how data is distributed across continuous intervals or specific categories that are considered “bins”.
A histogram is similar to a bar graph. The basic difference between the two is that bar charts correlate a value with a single category or discrete variable, whereas histograms visualize frequencies for continuous variables.
In this article, we have provided every detail about Histograms, their definition, types, examples, how the histogram looks, etc.
Table of Content
- What is Histogram?
- Histogram Meaning
- Parts of a Histogram
- Types of Histogram
- Uniform Histogram
- Bimodal Histogram
- Symmetric Histogram
- Right-Skewed Histogram
- Left-Skewed Histogram
- Frequency Histogram
- Relative Frequency Histogram
- Cumulative Frequency Histogram
- Cumulative Relative Frequency Histogram
- Histogram Examples
- 1. Normal Distribution Histogram
- 2. Skewed Distribution Histogram
- Histogram Graph
- How to Draw Histogram?
- How to Interpret a Histogram?
- When to Use Histogram?
- Advantages of Histogram
- Disadvantages of Histogram
- Applications of Histogram
- Difference between Bar Graph And Histogram
- Histogram Solved Examples
- Practice Problems of Histogram
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