You can only edit the above graphs if you created them using the Graph menu. You cannot edit any graphs that were generated through commands in the Stat menu.
To edit any of the above graphs in the web app:
Text annotation options include titles, subtitles, footnotes, and axis labels. The default title for a graph identifies the type of the graph and the variables that are presented in the graph. Some graphs also have default subtitles or footnotes.
You can modify the data displayed for Boxplot and Individual Value Plot.
You cannot use a logarithmic scale if the data include non-positive values.
Bins are equally spaced intervals used to sort sample data for graphing. In Minitab, histograms plot the number of values that are in each bin.
Bins can be defined by either their midpoints (center values) or their cutpoints (boundaries). The appearance of the graph changes if you change the interval definition method.
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, the following histograms represent the same data with different numbers of bins. Minitab automatically calculates and uses an optimal number of bins. The middle graph (15 bins) is the Minitab default for these data.
Values on the y-axis represent estimated cumulative probabilities. The cumulative probability for a value x is the probability that a random observation that is taken from the population will be less than or equal to x.
Minitab uses the median rank method (also called the Benard method) to estimate the cumulative probability (r) for each observation:
r = (i – 0.3) / (n + 0.4)
In this formula, i is the rank of the observation in the sample and n is the total number of observations in the sample. For the smallest value in the sample, i = 1 and for the largest value in the sample, i = n.
Values on the y-axis represent inverse cumulative probabilities.
The score values for the normal distribution and the lognormal distribution are the inverse cumulative probability of r, calculated using the standard normal distribution.
The score values for the exponential distribution and the Weibull distribution are calculated as LN(−LN(1−r)), where LN is the natural log function.
You can change the y-scale on a bar chart to a percentage scale, a cumulative scale, or both.
You can specify whether to calculate percents and accumulate values across the entire chart, or within the categories of the specified variable.
You can modify the order of bars in bars chart and slices in pie charts.
A fitted regression line on a graph represents of the mathematical regression equation for your data. Use a fitted distribution line to assess how well sample data follow a specific theoretical distribution.
You can add or edit the distribution fit for scatterplots, histograms, and probability distribution plots in the Minitab web app. For more information on the available distributions, see Distributions for fitted lines.
Reference lines are horizontal or vertical lines that span the data region of a graph to designate goals or demarcations.
Gridlines provide a background grid at major and minor tick mark positions and provide points of reference on your graph.
Data labels give information about individual data representations on a graph. Different graphs have different types of data representations. Data labels are based on variables and data used in the graph.
In the Minitab desktop app, you can specify columns of custom labels.
For many graphs, you can specify either a vertical or horizontal display orientation.