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<blockquote data-quote="tim2000s" data-source="post: 668548" data-attributes="member: 30007"><p>Quite. When the population of likely users is in the millions, a sample size of 30 has a reasonably significant margin for error when extrapolated up. A typical confidence level that is used would be 95% (that you are 95% confident in the results of your testing), although I don't know what NICE requires.</p><p></p><p>Or to put that another way, in the testing they did before releasing it to people, to be 95% confident that the 93.4% of the sample population was good, they have a 7% margin for error based on sample size. Now what does this mean? </p><p></p><p>It means that the 29/30 users (or 93.4%) of users who didn't report issues could be as low as 86% in the sample size, or to put it another way, in such a small sample, the number of people who had issues and maybe didn't feedback correctly could be as high as four people, rather than the one stated. </p><p></p><p>You can bet your bottom dollar that they are keeping a count of all the Libres sold and the number of issues that arise and that this sample size and statistical data will encompass the much larger sample size from sales when put in front of NICE, etc.</p><p></p><p>When looked at like that it tells a different story. But of course that's the beauty of statistics.</p></blockquote><p></p>
[QUOTE="tim2000s, post: 668548, member: 30007"] Quite. When the population of likely users is in the millions, a sample size of 30 has a reasonably significant margin for error when extrapolated up. A typical confidence level that is used would be 95% (that you are 95% confident in the results of your testing), although I don't know what NICE requires. Or to put that another way, in the testing they did before releasing it to people, to be 95% confident that the 93.4% of the sample population was good, they have a 7% margin for error based on sample size. Now what does this mean? It means that the 29/30 users (or 93.4%) of users who didn't report issues could be as low as 86% in the sample size, or to put it another way, in such a small sample, the number of people who had issues and maybe didn't feedback correctly could be as high as four people, rather than the one stated. You can bet your bottom dollar that they are keeping a count of all the Libres sold and the number of issues that arise and that this sample size and statistical data will encompass the much larger sample size from sales when put in front of NICE, etc. When looked at like that it tells a different story. But of course that's the beauty of statistics. [/QUOTE]
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