System Requirements

Minimum System Requirements for PASS 2019

In order to run PASS 2019, your computer must meet the following minimum standards:

  • Processor:
    • 450 MHz or faster processor
    • 32-bit (x86) or 64-bit (x64) processor

  • RAM:
    • 256 MB (512 MB recommended)

  • Operating Systems:
    • Windows 11 or later
    • Windows 10
    • Windows 8.1
    • Windows 8
    • Windows 7
    • Windows Vista with Service Pack 2 or higher

    • Windows Server 2019 or later
    • Windows Server 2016
    • Windows Server 2012 R2
    • Windows Server 2012
    • Windows Server 2008 SP2/R2

  • Privileges:
    • Administrative rights required during installation only

  • Third Party Software:
    • Microsoft .NET 4.6 (Comes pre-installed with Windows 10 or later and Windows Server
      2016 or later. Installation required on Windows 8.1 or earlier and Windows Server
      2012 R2 or earlier. For systems where .NET 4.6 installation is required, a .NET 4.6
      download helper will start automatically when you run the PASS setup file.
      )
    • Microsoft Windows Installer 3.1 or higher
    • Adobe Reader® 7 or higher (required for the Help System only)

  • Hard Disk Space:
    • 300 MB for PASS (plus space for Microsoft .NET 4.6 if not already installed)

  • Printer:
    • Any Windows-compatible inkjet or laser printer

PASS 2019 on a Mac

A Windows emulator (such as Parallels) is required to run PASS 2019 on a Mac.

As Statistician teaching statistics in the University, I have to say that NCSS is the tool that I have used since 1997. With all the procedures that you need for research or to make a good, informative presentation, it can be used for teaching in a university. Here in Idesem-Chile we have found it to be the best tool to support our measurement activities. I recommend this tool to make your job more enjoyable!

Frank Gallardo Pastore, Ph.D, AIU, CEO

"PASS is a great program. It does so much and is easy to use. It’s much better than the other sample size programs I’ve used—it has helped me greatly in my research."

Ken Lawson, Ph.D., The University of Texas