That is, finding a general pattern in data sets including temperature, sales, employment, company profit or cost over a period of time. These graphs are useful for finding trends. A line graph is often used to represent a set of data values in which a quantity varies with time. The advantage in a stem-and-leaf plot is that all values are listed, unlike a histogram, which gives classes of data values. In a stem-and-leaf plot, all data values within a class are visible. The frequency points are connected using line segments.Ī stem-and-leaf plot is a way to plot data and look at the distribution. In the particular line graph shown in Example, the x-axis (horizontal axis) consists of data values and the y-axis (vertical axis) consists of frequency points. It takes some background information to explain outliers, so we will cover them in more detail later.Īnother type of graph that is useful for specific data values is a line graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500) while others may indicate that something unusual is happening. When you graph an outlier, it will appear not to fit the pattern of the graph. An outlier is an observation of data that does not fit the rest of the data. You want to look for an overall pattern and any outliers. The stemplot is a quick way to graph data and gives an exact picture of the data. \right)\) were in the 90s or 100, a fairly high number of As.įor the Park City basketball team, scores for the last 30 games were as follows (smallest to largest):ģ2 32 33 34 38 40 42 42 43 44 46 47 47 48 48 48 49 50 50 51 52 52 52 53 54 56 57 57 60 61Ĭonstruct a stem plot for the data.
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