System Requirements

Minimum System Requirements for NCSS 12

These are the computer requirements in order to run NCSS 12 Statistical Analysis Software:

  • Processor:
    • 450 MHz or faster processor
    • 32-bit (x86) or 64-bit (x64) processor
  • RAM:
    • 256 MB (512 MB recommended)
  • Operating Systems:
    • Windows 10 or later
    • Windows 8.1
    • Windows 8
    • Windows 7
    • Windows Vista
    • Windows XP with Service Pack 2 or higher
    • Windows Server 2016 or later
    • Windows Server 2012 R2
    • Windows Server 2012
    • Windows Server 2008 SP2/R2
    • Windows Server 2003
  • Privileges:
    • Administrative rights required during installation only
  • Third Party Software:
    • Microsoft .NET 3.5 SP1 (included with NCSS CD, comes pre-installed with Windows 7 and Windows Server 2008 R2, feature activation required on Windows 8, 8.1, 10 and Windows Server 2012 and 2012 R2)
    • Microsoft Windows Installer 3.1 or higher
    • Adobe Reader® 7 or higher (required for the Help System only)
  • Hard Disk Space:
    • 160 MB for NCSS (plus space for Microsoft .NET 3.5 SP1 if not already installed)
  • Printer:
    • Any Windows-compatible inkjet or laser printer

NCSS 12 on a Mac

A Windows emulator (such as Parallels) is required to run NCSS 12 on a Mac.

"The NCSS software is and has always been the best solution for my work as an assessor. I have been exposed to many other analytical and statistical software applications and have found there is no other product on the market that can match the ease of learning, comprehension of function, and the frugality of price the NCSS product offers..."

Michael Ireland, CAE, Assessor

"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