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Examine your histogram to assess the shape and spread of your data, with or without a fitted distribution line. Histograms are also used to illustrate skewness, outliers, and multi-modal data.

Use Histogram to examine the shape and spread of your data. A histogram works best when the sample size is at least 20.

A histogram divides sample values into many intervals and represents the frequency of data values in each interval with a bar. A histogram works best when the sample size is at least 20. …

Choose Graph > Histogram > With Fit and Groups. In Graph variables, enter Length. In Categorical variables for grouping (0-3), enter Supplier. Click OK.

By default, the y-scale of a histogram represents frequency (each bar represents the frequency of values within the specified bin), emphasizing the magnitude of each bin.

Use the histogram of the residuals to determine whether the data are skewed or include outliers. The patterns in the following table may indicate that the model does not meet the model …

Graph > Histogram > Simple In Graph variables , enter one or more numeric or date/time columns that you want to graph. By default, Minitab creates a separate graph for each variable.

Create a histogram that displays the distribution of values, divided into groups, and overlays a fitted distribution curve for each group.

Histogram with density function overlaid Select to display histograms with an overlaid density function for each variable. Same x-axis scaling : Display the histogram of all variables using …

Graph > Histogram > With Fit In Graph variables , enter one or more numeric or date/time columns that you want to graph. By default, Minitab creates a separate graph for each variable.