We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:
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The IBM team may need your help to refine the ideas so they may ask for more information or feedback. The product management team will then decide if they can begin working on your idea. If they can start during the next development cycle, they will put the idea on the priority list. Each team at IBM works on a different schedule, where some ideas can be implemented right away, others may be placed on a different schedule.
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Some ideas can be implemented at IBM, while others may not fit within the development plans for the product. In either case, the team will let you know as soon as possible. In some cases, we may be able to find alternatives for ideas which cannot be implemented in a reasonable time.
Add Geometric Standard Deviation to go with Geometric Mean
The Geometric Standard Deviation (GSD) is the most interpretable measure of dispersion about the Geometric Mean. Together these statistics can summarise variables (e.g. concentrations) that have a LogNormal distribution. Currently, the variable has to be log transformed, then the SD of the log transformed variable found, then that SD has to be anti-logged. It would be nice if SPSS could report the (GSD) directly.
Limpert E, Stahel WA. Problems with Using the Normal Distribution - and Ways to Improve Quality and Efficiency of Data Analysis. PLoS ONE. 2011;6(7):e21403. doi:10.1371/journal.pone.0021403.
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