tag:blogger.com,1999:blog-6229831349550879590.post6104959035326638150..comments2011-07-01T08:23:29.431+08:00Harwinderhttp://www.blogger.com/profile/17448550860024926123noreply@blogger.comBlogger5125tag:blogger.com,1999:blog-6229831349550879590.post-85933155434011468602011-07-01T04:32:54.897+08:002011-07-01T04:32:54.897+08:00Quite comprehensive, thanks for itGabor - Hungarynoreply@blogger.comtag:blogger.com,1999:blog-6229831349550879590.post-15801272607693864922010-12-31T23:23:22.633+08:002010-12-31T23:23:22.633+08:00Super Article! It doesn&#39;t get better than this.<br /><br />Amazing way to explain this concept.Absolutely no Bheja Fry! ......simply deep fried into the brain.<br /><br />NeelNeelnoreply@blogger.comtag:blogger.com,1999:blog-6229831349550879590.post-27640582344194949362010-11-23T18:32:37.386+08:002010-11-23T18:32:37.386+08:00Hi <br />I am not able to solve one question of standard deviation.<br />A process characteristic has a true (population) mean of 150 and a<br />true (population) standard deviation of 20. A sample of 25 items is<br />taken from this process. The standard deviation of the sample is :<br />a. 4.0<br />b. 0.2<br />c. 0.8<br />d. 7.5Minskyhttp://www.blogger.com/profile/00057275507732932821noreply@blogger.comtag:blogger.com,1999:blog-6229831349550879590.post-41110270377764154012010-08-15T18:50:08.419+08:002010-08-15T18:50:08.419+08:00Thanks, Sreekanth. I&#39;m glad to hear that :)Harwinderhttp://www.blogger.com/profile/17448550860024926123noreply@blogger.comtag:blogger.com,1999:blog-6229831349550879590.post-27076338291973526182010-08-15T17:48:06.639+08:002010-08-15T17:48:06.639+08:00before reading this article, I was never so clear about this concept :)Sreekanthhttp://www.blogger.com/profile/06303033023670124229noreply@blogger.com