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*Used to compare range

*Bar graph with ranges

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13y ago

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Related Questions

How is histogram equalization different from histogram specification?

comparison between histogram equalization and histogram matching?


What is a shape of a histogram?

What is a shape of a histogram?


Which of the following best describes the data distribution of the histogram below?

I'm unable to see the histogram you're referring to. However, to describe a data distribution, you can look for characteristics such as its shape (normal, skewed, bimodal), center (mean or median), spread (range or standard deviation), and any outliers. If you provide details about the histogram, I can help you analyze it!


What part of speech is histogram?

Histogram is a noun.


What is the prefix of histogram?

The prefix of "histogram" is "histo-".


How do you find height of histogram?

I don't know what is histogram


Why would you create a frequency table before creating a histogram?

Creating a frequency table before constructing a histogram helps organize and summarize the data, allowing for a clearer understanding of its distribution. The frequency table outlines the number of occurrences for each data category or interval, making it easier to determine the appropriate bin sizes and ranges for the histogram. This preparatory step ensures that the histogram accurately reflects the data's characteristics and highlights trends or patterns effectively.


What is a histogram for?

A histogram is when the bars are touching and it graphs what you have on your frequency table.


What is the area under the curve for the histogram below?

There is no histogram below.However, the area under the curve for any histogram is the total frequency.


Advantages and disadvantages of histogram?

disadvantages of histogram compared to barchart


What is the importance of scaling histogram?

Scaling a histogram is important because it allows for better visualization and comparison of data distributions, especially when datasets have different ranges or magnitudes. By adjusting the scale, one can enhance the interpretability of the histogram, making it easier to identify patterns, trends, and outliers. Additionally, scaling can help in normalizing data, which is crucial for statistical analysis and when applying machine learning algorithms. Overall, proper scaling ensures that the histogram accurately reflects the underlying data characteristics.


What is a histogram used for?

A histogram is when the bars are touching and it graphs what you have on your frequency table.