A moderately small number of discrete quantitative data.
You need several pairs of numbers, i.e., x-coordinates and y-coordinates for each point you are going to plot.
The easiest way to tell if data is normally distributed is to plot the data.line plot apex
No, but quantitative data can.
we use sem and leaf plot in data sorting when there are lare amounts of numbers to anyalyze.
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It is the outlier.
In a scatter plot that is an exponential model, data can appear to be growing in incremental rates. In this type of model the data will only cross the Y-axis at one point.
A dot plot is a type of graph that shows data points along a number line. Each data point is represented by a dot above the corresponding value on the number line. Dot plots are useful for displaying the distribution of data and identifying patterns or outliers.
A moderately small number of discrete quantitative data.
You can have a scatter plot where the data is displayed as a collection of points. You can also have a dot plot where a set of data is represented by placing dots over a number line to represent the frequency of data.
There are many benefits of using a stem and leaf plot in the analysis of data. A stem and leaf plot can be constructed quickly. The value of each data point can be recovered from the plot. The data is arranged compactly because the stem is not repeated in multiple data points.
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The highest point on a plot diagram represents the climax of the story. This is the moment of greatest tension and conflict, where the outcome of the main character's struggle becomes clear.
Ages of people are sorted meaningfully by a stem and leaf plot. Any type of data set in which the first or last digit differs and can be sorted. By using this type of plot, one can readily see the magnitude of each group of data sorted.
It could be a frequency chart.