Statistix vs NumXL: Which is a better fit?

Speed and reliability of results is the most stunning result from this software.

Error recovery is a bit harsh. If you encounter an error, the module shuts down and you need to start over.

I really like the menu-driven format. In this age of programs like "R", it is really nice to be able to do some processes without programming.

Statistix limits the ability to perform ANOVA with uneven group sizes. In addition, error messages sometimes not clear and identifying the error for repair can be tricky.

Great program for someone without the best math background or just someone looking to have data analyzed in a quick and easy way.

There is very little that I dislike about Statistix when using it for data exploration.

The assistance i get for basic statistics is enourmous and its user friendly features makes it very easy to use even for starters. I am also impressed by the speed at which it executes a task.

The only time I couldn't use Statistix for a publishable analysis was when I had a two-factor, repeated-measures design with unequal sample sizes per treatment (because of plant mortality).

Ease of use, depth and breadth of techniques, impressive library of examples and “how to” papers, as well as outstanding support.

Lack of option to calculate and choose the optimal data series lag in regression analysis.

The use of this software with Excel is a great tool. There is great value in this product and it makes Excel a great tool for an Engineer.

Up to now, I am struggling in using NUMXL functions and tools.

Great support and timely - lots of useful videos to explain how to use it - enabling me to get up to speed in less than 30 mins. Great examples including example spreadsheets.

Correction of errors in data selection and choice of graphic displays.

Not only is the software leading edge, but our interactions with NUMXL staff have been excellent.

The #NUM! error is haunting me. Even when I use the Example files and try to reproduce the functions.