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You can compare by seeing where the maximum, minimum, and median are in the histogram s and by also seeing where the histograms cluster at.

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11y ago

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What way can you compare two data sets displayed in histograms?

You can see where the data is clustered


What does a double bar graph compare in two sets of data?

When you are talking about data that is not continous. When you are talking about data that is not continous.


When is a bar graph useful?

when a sets of data can be separated by 2 orders of variables, which are the independent & dependent variables.


How are charts used in analysis?

Charts allow you to visualize data. If you choose the correct chart for the data, you will be able to compare data sets to each other and to the entire universe of data sets in the chart.


How do I use statistics to properly compare two data sets with different spreads?

The answer will depend on what you wish to compare. There are different methods to compare the means, variances as well as other characteristics of the two sets.


What are 2 graphs that compare 2 sets of data?

Bar graphs can compare two sets of data, as well as line graphs and circle graphs. To better improve my answer, double line graphs and double bar graphs compare two sets of data. Circle graphs cannot however, because they compare parts of a whole instead of, as a bar graph would, the amount of something. A circle graph is also incapable of showing data growth over a period of time, as line graphs do. All in all, circle graphs cannot compare to sets of data, and bar graphs and line graphs must be doubled to do so.


What are the Uses of stem and leaf plots?

you use it to compare 2 different sets of data


What is used to compare sets of data in one chart?

You can use a stacked bar chart.


What are the advantages of using broken line graphs?

Easy to compare multiple continuous data sets


What kind situation you uses a double bar graph?

To compare any two sets of data !


What are some advantages of using a histogram over a polygon?

Histograms provide a clear visual representation of data distribution by displaying the frequency of data points within specific intervals, making it easier to identify patterns and trends. They effectively illustrate the shape of the data distribution, such as skewness and modality. In contrast, polygons can be less intuitive for quickly assessing the frequency of data, as they require connecting midpoints of intervals, which can obscure individual frequency counts. Additionally, histograms handle large data sets more effectively by aggregating data into bins, simplifying the visualization.


How does making a table help you compare data sets?

It lines up the data and keeps your information organized, making it easier to manipulate the data and draw conclusions.