Splot Statistics

Church split statistics
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The SGPLOT Procedure

The SGPLOT procedure creates one or more plotsand overlays them on a single set of axes. You can use the SGPLOT procedureto create statistical graphics such as histograms and regression plots, inaddition to simple graphics such as scatter plots and line plots. Statementsand options enable you to control the appearance of your graph and add additionalfeatures such as legends and reference lines.

TheSGPLOT procedure can create a wide variety of plot types, and can overlayplots together to produce many different types of graphs. Examples of Graphs that Can Be Generated by the SGPLOT Procedure contains some examplesof graphs that the SGPLOT procedure can create.

Splot

Alpha Split Statistics

Examples of Graphs that Can Be Generated by the SGPLOT Procedure
The following code creates an ellipse plot:

The following code creates a horizontal box plot:

The following code creates a graph with two series plots:

The following code creates a graph with a histogram, a normal densitycurve, and a kernel density curve:

The following code creates a graph with two bar charts:

Minitab is the leading provider of software and services for quality improvement and statistics education. More than 90% of Fortune 100 companies use Minitab Statistical Software, our flagship product, and more students worldwide have used Minitab to learn statistics than any other package. You can use the SGPLOT procedure to create statistical graphics such as histograms and regression plots, in addition to simple graphics such as scatter plots and line plots. Statements and options enable you to control the appearance of your graph and add additional features such.

What Are Split Statistics

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Splot Statistics

Mean Split Statistics

Your choice for the Conceptualization of Spatial Relationships parameter should reflect inherent relationships among the features you are analyzing. The more realistically you can model how features interact with each other in space, the more accurate your results will be. Recommendations are outlined in Selecting a conceptualization of spatial relationships: Best practices. The following are additional tips:

Plot Statistical Data In Excel

  • Fixed distance band

    This is the default. The Distance Band or Threshold Distance will ensure that each feature has at least one neighbor. This is important, but often this default will not be the most appropriate distance to use for your analysis. Additional strategies for selecting an appropriate scale (distance band) for your analysis are outlined in Selecting a fixed distance band value.

  • Inverse distance or Inverse distance squared

    When zero is entered for the Distance Band or Threshold Distance parameter, all features are considered neighbors of all other features; when this parameter is left blank, the default distance will be applied.

    Weights for distances less than 1 become unstable when they are inverted. Consequently, the weighting for features separated by less than 1 unit of distance are given a weight of 1.

    For the inverse distance options (Inverse distance, Inverse distance squared, and Zone of indifference), any two points that are coincident will be given a weight of one to avoid zero division. This assures that features are not excluded from analysis.