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Oct 3, 2013 at 16:35 comment added gung - Reinstate Monica The SD is more intuitive because it is on the same scale as the data. However, when working with the normal distribution, the variance is the parameter not the SD. Thus, variances can be more useful when working with distributions mathematically. Eg, variances add, but SDs don't.
Jun 29, 2013 at 13:44 answer added Jeffrey Edwards timeline score: -3
Jul 20, 2011 at 19:01 answer added Ram Ahluwalia timeline score: 4
Apr 28, 2011 at 17:47 vote accept Andrew
Apr 28, 2011 at 14:36 comment added whuber Take a look at an ANOVA table.
Apr 28, 2011 at 7:58 history edited user88 CC BY-SA 3.0
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Apr 28, 2011 at 6:49 answer added Nick Sabbe timeline score: 9
Apr 28, 2011 at 6:13 answer added abutcher timeline score: 3
Apr 28, 2011 at 6:09 history tweeted twitter.com/#!/StackStats/status/63484940075008000
Apr 28, 2011 at 4:51 history asked Andrew CC BY-SA 3.0