Open topic with navigation

About CDF Plot

The Cumulative Distribution Function (CDF) plot is a lin-lin plot with data overlay and confidence limits. It shows the cumulative density of any data set over time (i.e., Probability vs. size). The term Probability is used in this instance to describe the size of the total population that will fail (failure data or any other data) by size (SqFt).

CDF plot answers a different question than PDF. For example, "What is the probability of failure at Size (SqFt)?" The CDF curve is the area under the PDF curve. The CDF accumulates all probability of failure up to the point in time in question. Since the number of failures increases with increasing size, the slope of the curve is always positive, always increasing.

Note: Interaction with charts is not available on touch-screen devices.

Graph Features

While accessing a CDF plot, you can:

• Hover or tap on any datapoint to view the coordinates and the details of a datapoint.
  • For an Estimated datapoint, you can view the type of distribution, the distribution parameters, and the value of R-Squared.
  • For an Observed datapoint, you can view the name and the value of Variable.
• Click or double-tap on any observed datapoint to view the data on the Distribution Data window.
• Censor a datapoint.
• Customize the appearance of the plot by using standard graph features.

Copyright © 2018 General Electric Company. All rights reserved.