Generating Statistical Charts from QC History Observations

• Generating Statistical Charts from QC History Observations
  • Overview
  • Process

Overview

Discrete QC history observations can be plotted on various statistical charts to provide further insight to the historical QC observations.

Process

Statistical charts of QC history observations can be drawn using the CCQCHS—QC History Summary application.

Where discrete observations are displayed for a Primary Analytical Type of Blank, Standard or Spike, the selected Chart Type can be:

• XCT—X-chart
• REC—Recovery chart (Not and option for Blank)
• CUS—Cusum chart
• HTC—Histogram chart
• ZSC—Z-score chart
• RNG—Range chart
• SDV—Standard deviation chart

Refer to Conditions for Allowing Standards as Spikes.

Where discrete observations are displayed for a Primary Analytical Type of Duplicate or Replicate, the selected Chart Type can be:

• COR—Correlation chart
• PVC—P-curve chart
• SCA—Scatter chart.

Generate a statistical chart for discrete QC history observations

Refer to the CCQCHS—QC History Summary Detail screen for information on entering chart criteria.

Note: Although more than 10,000 data points can be extracted in the grid, QC charting can only plot a maximum of 10,000 data points.

The chart is plotted based on the detailed QC history search criteria located on the Discrete Observations tab.

Where Group By is firstly by:

• Analytical Type and QC Type Code—A filter is applied by Primary Analyte Type and QC Type Code.
• Analytical Type Only—A filter applies by Primary Analyte Type and any filter in QC Type Code is ignored.

Where Group By is secondly by:

• Standard and Lot—A filter applies by Standard Code and Standard Lot Code.
• Standard only—A filter applies by Standard Code and any filter in Standard Lot Code is ignored.

Where Group By is thirdly by:

• Scheme and Version—A filter applies by Scheme Code and Scheme Version.
• Scheme only—A filter applies by Scheme Code and any filter in Scheme Version is ignored.

Regardless of any Specification Code that is passed in, this is NOT used as a discrete QC history search criteria, but is only there to provide the specification limits for statistical assessment and charting.

Since the data used in charts is filtered by the detailed QC history search criteria, when viewing a chart, if the activity status of a discrete observation is changed, then a re-plot performs a re-query based upon each discrete observation's Is Active state and then updates the chart, that is, you do not have to go back to the discrete observations grid and refresh the grid.

Chart rendering is consistent across all charts. All chart titles can be edited. Charts are displayed using the maximum of the available screen size.

Note: A single chart is added to the a Crystal Report generated when you export QC history discrete observations to a report. Only one chart can be saved per report; if three charts are saved and then a single report is generated, then the report contains the most recently generated chart.