System Requirements

Minimum System Requirements for PASS 2023

In order to run PASS 2023, 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:
    • 400 MB for PASS (plus space for Microsoft .NET 4.6 if not already installed)

     

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

PASS 2023 on a Mac

A Windows emulator (such as Parallels) is required to run PASS 2023 on a Mac.

"I had been using [another statistical software package] for over 15 years until recently when I noticed it would not run ANOVAs correctly. After researching numerous options I switched to NCSS and PASS and couldn't be happier. Your product is accurate, fast, easy to use, and very inexpensive. And thanks to the software’s flexibility in reporting and graphing, it has made my consulting business easier as well. Thank you!"

Ken Hansen, M.S., Mechanical Engineer and Applied Statistician

"Two reasons for choosing your product [PASS]: all-around methods and options + very good documentation."

Mika Kurkilahti, PhD