Click the graph to select it, then click the plus sign beside the graph and select items to display on the graph. The following information describes some of the items on the Graph Elements menu.
You can select one of the following types for the y-scale.
Bins are equally spaced intervals used to sort sample data for graphing. In Minitab, histograms and dotplots plot the number of values that are in each bin.
The number of bins affects the appearance of a graph. If there too few bins, the graph will be unrefined and will not represent the data well. If there are too many bins, many of the bins will be unoccupied and the graph may have too much detail. For example, these histograms represent the same data with different numbers of bins.
Bins can be defined by either their midpoints (center values) or their cutpoints (boundaries). The appearance of the graph changes if you change the bin definition method.
Add a fitted distribution line to assess whether your data follow a specific theoretical distribution. For example, many statistical analyses assume that data follow a normal distribution. Data that fit the distribution well have bars that closely follow the fit line. Minitab also estimates the distribution parameters from your sample and conducts an Anderson-Darling test to test whether your data fit the theoretical distribution.
To fit a lognormal distribution, an exponential distribution, or a Weibull distribution, all data values must be greater than 0.