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.

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

NCSS is an excellent tool for clinical and epidemiological research that is both user friendly and economical with excellent support. It removes the "fear of statistics" from clinical research and makes research accessible to all curious clinicians.

Ted Rosenberg, MD MSc. FRCP(C), Clinical Assistant Professor, University of British Columbia