Red Hat Reaping Benefits From Novell/MSFT deal?
Ho Kooshy Fly writes "It seems that at least one software group has seen the use of Red Hat substantially increase over Novell as of late. EWeek theorizes that this may be backlash from the patent deal with Microsoft. From the article: 'The survey's findings can also be extrapolated to the broader open-source software industry and are not limited to those enterprise customers using Alfresco software "because of the wide range of open-source and proprietary software use cases captured and the large sample size of the survey," [Ian Howells, Alfresco's chief marketing officer] said. "We think these findings accurately reflect the broad technology trends across modern stacks in organizations of all sizes." Gallup polls about U.S. presidential candidates typically survey about 1,000 likely voters, while Alfresco surveyed more than 10,000 people, he said.'"
I'm not convinced that this is unbiased, especially the claims that Novell adoption is slowing due to backlash. Give us the stats if you want, but let us draw our own conclusions. Also, why did the report separate Fedora and RHEL while not separating openSuSE and Novell SuSE? Certainly interesting data, but like I said, I don't really want their conclusions. On a side note, PostgreSQL seems to be used a lot more than I originally thought.
Gallup polls about U.S. presidential candidates typically survey about 1,000 likely voters, while Alfresco surveyed more than 10,000 people, he said.'"
I recall that my statistics professor explicitly pointed out a common mistake in statistics: "Contrary to what people typically believe, the size of the sample is often not as critical as getting an unbiased sample." If you call the home phone number of people during daytime and ask the ones who answer whether they are employed or not, you will not get good statistics. Regardless if you reach 1 000 or 10 000 people.
I have no idea if there is such a problem with the statistics presented here. I just want to point out their claim of sample size can not be taken to mean that their statistics are better than Gallup's.
Open Materials Database
. It is a good stategy, and some open source people really do fall for it. GPL3 from a corporate perspective is not a very positive thing. So i would think that community is already showing lots of divide, although that could just be because there are lots more people in it now.
Indeed. I'm not sure why this point was made. n=1000 is generally enough to get statistically significant results. Having more than that in no way guarantees "more accuracy" or whatever they were trying to argue. What is important is the selection method. An evenly distributed, random, blind sampling of 1000 people is going to be far more accurate than a self-selected survey of 1,000,000 people with similar opinions. I'm not saying this is what happened in this case (or that Gallup polls are better), but ultimately the number itself is irrelevant to the accuracy of the report once you've crossed a certain threshold. You reduce your error, but you might simply end up with a small standard error centered on a biased response.