Capability Analysis (Binomial) - Quick Tab

Select the Quick tab in the Capability analysis (Binomial) dialog box to access options to select the variables for the analysis.

Optionally select a fixed (sample, unit) size and/or historical binomial proportion (p), and to specify optionally a Target and USL (upper specification limit) value for the analysis.

Input data as

In general, all analyses are performed on binomial proportions (such as failures per unit, such as numbers of defects per wafer). Therefore, there are two options for specifying (interpreting) count or defect data:

Counts (divide measures by sample sizes to compute proportions)

Select this option button if the data to be analyzed are counts (such as numbers of defects; numbers of calls to a call center that got a busy signal, etc.).

In this case, to perform the analyses (such as to compute u or p charts), Statistica will automatically divide the respective counts (found in the data) by the respective sample sizes.

Proportions (do not divide measures by sample size)

Select this option button if the data to be analyzed are proportions (0 ≤ p ≤ 1).

In this case, the respective values will not be divided by sample sizes (but will be multiplied by sample sizes).

Note that, regardless of the type of input file (counts or proportions), the Historical p values (if specified) always are interpreted in terms of proportions.

Variables

Click this button to display a standard variable selection dialog box. You must specify a variable with the measurements (numbers or proportions of defects).

Optionally, you can also specify a variable with sample sizes; if no sample size variable is selected, the fixed value from the Sample size field (see option description below) will be taken as the sample size, and applied to all samples.

Note: if the Counts... option is specified in the Input data as section (see option description above), the values in the measurement variable will be divided by the sample sizes to compute proportions.

Sample sizes (if constant)

If no variable with sample sizes is specified via the Variables option, the constant sample size specified in this field will be applied to all samples.

Historical p

Select this check box, and specify the respective value (0<p<1 or average proportion) to use a historical estimate of the average proportion or rate.

This value will be used:

  • As the center line in the summary p chart
  • In the evaluation of Runs tests, if they are specified.
  • In the Summary statistics spreadsheet (created from the Results dialog box), as the average PPM (parts per million defective), and to compute the respective confidence intervals for PPM.

Enter a target %Defective for this process

  1. In this field, enter a target percent defective.
  2. Enter the respective percentage value (such as to specify 25% of cases defective per sample as the target, enter 25).
    Note: the values entered here will always be interpreted as percentages (0<p%<100), regardless of the setting of the Input data as options.

Enter a USL value (number of defectives per sample)

  1. Enter the upper specification limits for the respective process.
  2. Enter the value as the number of defects acceptable or permitted (inclusive!) per sample (for example, do not enter a rate, but rather the actual count, regardless of the setting of the Input data as options).

    The USL value is shown in the Capability Summary histogram, and is used to compute capability indices (see Computational Details).

See also Example 10: Capability Analysis (Binomial) and Process Analysis - Capability Analysis Binomial and Poisson.