![]() One shows uniformity, while the other shows some variance.ĭot plots are also a great way to notice data clusters. There is greater variation in the data, but that’s only clear when looking at the individual points.Ī dot plot would be a good display for this data.Ĭompare the two displays. Yet, something very different is happening in the second data set. These two data sets have the same mean, median, and mode (5). Sometimes traditional methods of summarizing data, including mean, median, and mode, may not give the whole picture.įor example, consider the following data sets: ![]() A dot plot with no overall shape may show true randomness in the observed data. Read a dot plot by first looking at the overall shape of the data.Ī dot plot that is relatively bell-shaped will indicate a “normal distribution.” One that is skewed to the left or right indicates outliers. That’s it! Next, it’s time to analyze the display. Create a corresponding number of markings (dots) above each data point. Next, find out how often each data point occurs. List these values or ranges from least to greatest left to right. These can be tens, whole numbers, numbers measured to the nearest tenth, numbers measured to the nearest hundredth, etc. Otherwise, use discrete values as the data points. It may be better to have a dot plot with a range for continuous data or data with very large ranges. Is the data continuous? What is its range? To make a dot plot, first look at the data gathered. Using a dot plot makes it easy to see outliers, clusters, and the mode of a data set. This display works well for small to medium-sized data sets. For example, a wildlife researcher may use a small graphic of an animal. In any case, the values will increase from left to right or top to bottom in dot plots.ĭespite the name, some dot plots may use other images instead of dots. For example, a dot plot showing body temperature may vary in increments of $0.1$ degrees Fahrenheit. Additionally, the values listed at the bottom may be ranges or in increments smaller than one depending on the data. In some cases, the dot plot lists the values on the left, with the dots extending to the right. It does this by listing all possible data values on the bottom and showing one dot above the value for each time that data value occurs. It displays the same general information as stem and leaf plots and histograms.īefore moving forward with this section, make sure to review relative frequency.Ī dot plot is a graphical display of data that emphasizes the overall shape of quantitative data. Dot Plot – Definition and Examples A dot plot is a graphical display of data that shows how often each data point or a range of data points occurs.Ī dot plot is great for emphasizing the overall shape and distribution of a data set.
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