This graph plots each data point for each group so that you can see outliers and the shape of the distribution. In Minitab, choose Graph > Individual Value Plot. Use an individual value plot to assess and compare individual data points. In Minitab, choose Graph > Interval Plot. The confidence intervals help you assess the differences between group means in relation to within-group variance. Use an interval plot to assess and compare means and confidence intervals. Use a boxplot to assess and compare sample distribution characteristics and to look for outliers. The viscosity of paint produced at your company's plant, by method of mixing.Mean quarterly sales of each of your company's products, by region.For example, you can compare the following: Use these graphs to compare summary values or individual data values. In Minitab, choose Graph > Dotplot.Дotplots are also useful for comparing groups of data. However, a dotplot can be more useful than a histogram when you have a small amount of data because each dot represents a single observation, or a small number of observations. Like a histogram, a dotplot is divided into bins. Use a dotplot to evaluate the shape and central tendency of your data.

Because each bar represents many observations, a histogram is most useful when you have a large amount of data. In Minitab, choose Graph > Histogram.Д«ars represent the number of observations falling within consecutive intervals or bins. Use a histogram to evaluate the shape and central tendency of your data, and to assess whether or not your data follow a specific distribution such as the normal distribution. What the most commonly observed values in the sample are.

How many peaks exist in the sample distribution (more than one peak can indicate that data are from multiple populations).

Whether sample data follow a specific distribution.

Whether a sample distribution is symmetrical or skewed.

Use these graphs to assess and compare properties of distributions, such as: In Minitab, choose Graph > Marginal Plot. A marginal plot is a scatterplot with histograms, boxplots, or dotplots in the margins. Marginal plot Use a marginal plot to assess the distributions of two variables as well as the relationship between them. The area of each bubble represents the value of a third variable. However, the symbols (also called bubbles) on the bubble plot vary in size. Like a scatterplot, a bubble plot plots a y-variable versus an x-variable. Bubble plot Use a bubble plot to explore the relationships among three variables on a single plot. A matrix plot is an array of individual scatterplots.

Use a matrix plot to assess the relationships among several pairs of variables at once. The values of the two variables serve as the x- and y-coordinates for plotting each observation. Use a scatterplot to assess the relationship between two variables.

The relationships between the viscosity, age, and temperature of oil and acceleration and wear in race-car engines.

The relationship between soil pH and the growth of plants.

For example, you can assess the following: Use these graphs to explore relationships between one or more pairs of variables.

How to make graphs in minitab 18