What is a Histogram? - Answers & Explanations

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In summary, a histogram is a graphical representation of data that shows the distribution of numerical values. It is different from a bar graph, which is used for categorical data. The purpose of a histogram is to visually represent the distribution of a dataset and identify patterns and outliers. To create a histogram, you need to determine the range of values, divide them into bins, and label the axes accordingly. Some common misconceptions about histograms include the mistaken belief that the height represents the actual values in the dataset, that all histograms must have equally sized bins, and that they are the same as bar graphs.
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Aeneas
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Can you please tell me what a histogram is? Some definitions seem to allow any bar chart where the areas of the bars are proportional to the frquency, which would allow underlying discrete distributions, such as he number of people expressing preferences for different makes of car, where the bars may be separated.

Other definitions seem to insist on an underlying continuous distribution where the bars are joined together, but in some areas there seems to be a convention that where the data are discrete but ordinal, the bars can be joined together. For example, the no. of wins in 400 m races achieved in the different lanes of a running track. Would this then be a histogram?

Very often you will see he bars joined together where he underlying variable is discrete but consists of consecutive numbers, such as when plotting the number of times a die comes up with the 1 to 6. Would that be a histogram?

Or is a histogram defined by having frequency density rather than frequency on the vertical axis?

If someone can sort the meaning of this term out for me I would be grateful. Or if this question has been asked many times before, could you give me a link to an answer?

Many thanks for any replies.
 
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A histogram is a type of bar chart that displays the distribution of a numerical variable. It is used to represent the frequency of values within a set of data by displaying rectangles with heights (or areas) proportional to the frequency of occurrence of the values they represent. Histograms can be used with both continuous and discrete data and are often used in conjunction with other types of plots such as line graphs or scatter plots to provide a better visual representation of the data. The bars in a histogram can be joined together or separated depending on the type of data being represented. For example, when plotting the number of wins in 400m races achieved in different lanes of a running track, the bars can be joined together as the underlying variable is discrete but consists of consecutive numbers. Similarly, when plotting the number of people expressing preferences for different makes of car, the bars may be separated as the data is discrete. In either case, the vertical axis of the histogram typically displays either the frequency or the frequency density of the values.
 

Related to What is a Histogram? - Answers & Explanations

What is a Histogram?

A histogram is a graphical representation of data that shows the distribution of numerical values. It consists of a series of rectangles, where the width of each rectangle represents a range of values and the height represents the frequency or number of data points within that range.

How is a Histogram different from a bar graph?

A histogram and a bar graph may look similar, but they are used for different types of data. A histogram is used for numerical data, while a bar graph is used for categorical data. In a histogram, the width of each bar is important and represents a range of values, whereas in a bar graph, the width of the bars is not significant.

What is the purpose of a Histogram?

The purpose of a histogram is to visually represent the distribution of a dataset. It allows us to see the shape of the data, such as whether it is symmetric, skewed, or bimodal. Histograms are useful for identifying patterns and outliers in a dataset.

How do you create a Histogram?

To create a histogram, you first need to determine the range of values in your dataset and divide them into equal-sized groups called bins. Then, you count the number of data points that fall within each bin and draw a rectangle for each bin, with the height representing the frequency. Finally, you label the x-axis with the bins and the y-axis with the frequency.

What are some common misconceptions about Histograms?

One common misconception is that the height of each rectangle in a histogram represents the actual values in the dataset. In reality, the height represents the frequency or number of data points within that range. Another misconception is that all histograms must have equally sized bins, whereas the bin size can vary depending on the data being represented. Lastly, histograms are sometimes mistaken for bar graphs, which are used for different types of data as mentioned earlier.

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