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What is it: The P-Chart monitors the percent of samples having the condition, relative to either a fixed or varying sample size, when each sample can either have this condition, or not have this condition. In industrial statistics, the P-Chart is a type of control chart that is very similar to the X-bar chart except that the statistic being plotted is the sample proportion rather than the sample mean. Since the proportion deals with the percentage of successes, clearly the appropriate data for P-Charts needs to be attribute data where the outcomes for each trial can be classified as either a success or a failure (conform or non-conform, yes or no, etc.). The subgroup size should ideally be equal, although unequal sample sizes can be accommodated.

Why use it: Using the P-Chart, one can not only detect changes in the percentages with time, but can also assess the variation in the data against the variation expected by the binomial distribution. Thus one can detect when the process has more variation in it than expected, or when there is too little variation.

When to use it: The P-Chart is used when reviewing a set of data against a certain criteria. 

How to use it: Control limits for the P-Chart are calculated on the basis of the binomial distribution and an approximation based on the central limit theorem.

P-Chart overview:

  1. The "P" comes from use of the proportion of nonconforming items
  2. Need a good definition of nonconforming items – usually a categorical definition
  3. Can be of equal or unequal subgroups
  4. Normally need large subgroups – can even be up to total for the period

  Name
Format
Preview (Click to enlarge)
  P-Charting Tool Template
Microsoft Excel Format
Microsoft Excel
Format
p Charting Template
  P-Charting Tool Graph
Microsoft Excel Format
Microsoft Excel
Format
p Chart Graph
  P-Chart Production Template
Adobe PDF Format
Adobe PDF
Format
p Chart Production Template
USD $14.95
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