Seven of the most common graphs in statistics are listed below:

- Pareto Diagram or Bar Graph– A bar graph contains a bar for each category of a set of qualitative data. The bars are arranged in order of frequency, so that more important categories are emphasized.
- Pie Chart or Circle Graph– A pie chart displays qualitative data in the form of a pie. Each slice of pie represents a different category.
- Histogram– A histogram in another kind of graph that uses bars in its display. This type of graph is used with quantitative data. Ranges of values, called classes, are listed at the bottom, and the classes with greater frequencies have taller bars.
- Stem and Left Plot– A stem and left plot breaks each value of a quantitative data set into two pieces, a stem, typically for the highest place value, and a leaf for the other place values. It provides a way to list all data values in a compact form.
- Dot plot – A dot plot is a hybrid between a histogram and a stem and leaf plot. Each quantitative data value becomes a dot or point that is placed above the appropriate class values.
- Scatterplots – A scatterplot displays data that is paired by using a horizontal axis (the
*x* axis), and a vertical axis (the *y* axis). The statistical tools of correlation and regression are then used to show trends on the scatterplot.
- Time-Series Graphs– A time-series graph displays data at different points in time, so it is another kind of graph to be used for certain kinds of paired data. The horizontal axis shows the time and the vertical axis is for the data values. These kinds of graphs can be used to show trends as time progresses.

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Tags: analytical statistics, AP statistics, applied statistics, data mining, graphs and data

This entry was posted on March 26, 2015 at 8:57 am and is filed under General interest, graphing data, Life Science, making graphs, Statistics Readings. You can follow any responses to this entry through the RSS 2.0 feed.
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