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THE STABILIZED PROBABILITY PLOT John R. Michael Technical Report No. 165 Department of S t a t i s t i c s ONR Contract June 1982Research sponsored by t h e O f f i c e o f Naval Research Contract
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01
Start by gathering the required data for the variables you want to analyze.
02
Plot the data points on a graph with the x-axis representing the observed values and the y-axis representing the expected values.
03
Connect the plotted points with a line to show the relationship between the observed and expected values.
04
Check the line for any patterns or deviations from a straight line.
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If the line is relatively straight and follows the diagonal, it indicates that the data is normally distributed.
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If the line deviates from the diagonal or shows a specific pattern, it suggests a departure from normal distribution.
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Analyze the patterns or deviations to identify the underlying causes or factors affecting the distribution.
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Use the stabilized probability plot to assess the stability of the probability distribution over time or across different conditions.
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Form stabilized probability plot is a graphical method used to assess whether a data set follows a particular probability distribution.
Individuals or organizations that are conducting statistical analysis and want to assess the distribution of their data set.
To fill out a form stabilized probability plot, one must first collect the data set and input it into a statistical software program that can generate the plot.
The purpose of form stabilized probability plot is to visually inspect whether a data set follows a particular probability distribution or if it needs further analysis.
The form stabilized probability plot should display the data set as points on the plot, along with the expected distribution curve for comparison.
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