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Question: Is this the complete software and is it genuine?

Answer: Yes, this is a Genuine Full Version Minitab 17 program with all its features and functions.

Question: How many Licence Keys can I buy?

Answer: 1 Licence Key activates 1 PC or Laptop. You can buy as many Licence Keys as you want. 

Question: Why is Minitab 17 so cheap?

Answer: We buy customer returns and cancellations direct from companies, schools and businesses that no longer use Minitab and wish to sell off their licence keys. Licence Keys are of Used condition but as good as new and we transfer it direct to you upon purchase.

Question: Can I update and upgrade Minitab 17 to 18 or 19?

Answer: No.  The update and registration features are disabled to stop any type of Half-Price Upgrades to 18 or 19. Minitab will not allow upgrades from transfers of licences. You will only be using Minitab 17 version 17.1. If you wish to download Minitab 19 you need to go directly to Minitab website Here and buy directly from them at full retail price (Currently Priced £1500).

Question: Will this work on Windows 10?

Answer: We have tested Minitab on Windows 10 and windows 7 x32Bit and x64Bit and seems to be working perfectly on all windows machines.

Question: What happens if my Laptop isn't compatible with minitab 17?

Answer: We guarantee 100% refund if you face any issues.  We've met hundreds of loyal professional Minitab customers over the years and we trust your word. We understand how important this software is to you than money and we therefore ask no questions when problems occur. We also confirm that in 4 years selling Minitab we've not once had a customer return or any errors occur from Minitab 17.

Question: is Minitab 17 Download version different to CD?

Answer: The Digital Download we sell is the same software as that which you get on a CD/Disc. Some people prefer to have a CD and others prefer a simple downloaded software to save shipping time or lost parcels.






Controlled Experiment: a study where treatments are imposed on experimental units,

in order to observe a response.

Factor: a variable that potentially affects the response

ex. temperature, time, chemical composition, etc.

Treatment: a combination of one or more factors

Levels: the values a factor can take on


Effect: how much a main factor or interaction between factors influences the mean response


Design Space: range of values over which factors are to be varied


Design Points: the values of the factors at which the experiment is conducted

One design point = one treatment

Usually, points are coded to more convenient values

ex. 1 factor with 2 levels – levels coded as (-1) for low level and (+1) for high level


Response Surface: unknown; represents the mean response at any given level of the factors in the design space.


Center Point: used to measure process stability/variability, as well as check for curvature of the response surface.

Not necessary, but highly recommended.

Level coded as 0 .



  • Factorial designs are good preliminary experiments

  • A type of factorial design, known as the fractional factorial design, are often used to find the “vital few” significant factors out of a large group of potential factors. (This is also known as a screening experiment.

  • Also used to determine curvature of the response surface)


  • Every combination of factor levels (i.e., every possible treatment) is measured.

- 2k design = k factors, each with 2 levels, 2k total runs

- 33 design = 3 factors, each with 3 levels, 33 = 27 total runs

  • Every factor effect can be estimated

  • Can include center points, but not necessary

  • 2k designs are the most popular [High Level (+1) and Low Level (-1)]


  • Another type of response surface design.

  • Does not contain an embedded factorial design like the CCD.

- Instead, design points are the midpoints

- Requires 3 levels (-1, 0, +1) for each factor

  • Less expensive to run than the CCD (less points)

  • Does not contain axial points, so all design points are sure to be within safe operating limits



  • As mentioned before, factorial designs are useful when determining the “vital few” significant factors

  • Once you have determined those vital factors, you may want to map the response surface. Why?

1. To find the factor settings that optimize the response (max./min. problem, or hitting a specific target)

2. In order to improve a process, you’ll need to understand how certain factors influence the response

3. Find out what tradeoffs can be made in factor settings, while staying near the optimal response

  • Essentially, you are finding a model that describes the relationship between the vital factors and the response.

Minitab 17 system requirements
Works on Windows XP, 7 and 10 - Tested on Windows 7 and 10 and there were no issues.

Minitab Version 17 is as good as latest versions 18 or 19 and there are no major changes. Minitab 17 software is still most favoured version used by most students.

Install minitab 17 (minitab installation guide)

  1. Double Click on the exe file you downloaded from our website

  2. Extract File (right click and choose extract).

  3. Click on Minitab 17 Setup.

  4. Agree to the license terms and conditions and click on Next.

  5. When prompted - Enter the license we give you

  6. Wait for Minitab setup to complete.

  7. Click Finish - You are now ready to use program.

Download Minitab - Download Minitab 17 here

Only £80

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