New Version 5 Features

New Data Features

Below is a partial listing of the new data features in QualStat 5. Watch List and Variable Grouping are quite significant and are supported throughout the software. If you like to see the changes in action, here is a Flash Demonstration.

  • Comments can be entered for individual rows
  • Redesigned screen for modifying columns
  • Variable Grouping for Quick Selection
  • Watch List for Variables
  • Context sensitive menus for grid columns and rows
  • Multi-selection of records for hiding or deleting
  • New Interface for accessing historian data

New Graphical Features

Below is a partial list of the new and improved chart features in QualStat 5.

  • New Buttons on the Chart Toolbar
    • Zoom Selection button
    • Unzoom Chart button
    • Rectangular Point Selection
  • Point selection displays additional information
    • Values
    • Values of variables on the Watch List
    • Information specific to the individual chart type
  • Right click mouse support for most charts

Improved Statistical Tools

Although this new released focused on usuability, we also added or updated our statistical tools. Most significant are the options that have been updated in the MVSPC area of the package. By adding Batch Mean and Batch Variance tests, QualStat has the best support for multivariate analysis of batch processes.

  • Exporatory Statistics
    • ‘Add to Worklog’ interface allows more selection options
    • Additonal option on inclusion of rows
    • Easy selection of alpha level for correlation test
  • Univariate Charts
    • Runs Rules are now integrated into the main chart area
    • You can now highlight each set of points that don’t conform to a Run Rule.
  • Multivariate T² charting
    • New Batch Mean Test
    • New Batch Variance Test
    • Group Color option
    • Improved point selection
    • Right click mouse support for charts
    • Easier selection of signals on charts
  • Correlagram
    • Improved display
    • More options in adding a new lag variable to dataset