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re: "Half the schools are below average" - not always true

Posted on 10/1/14 at 6:01 pm to
Posted by buckeye_vol
Member since Jul 2014
35243 posts
Posted on 10/1/14 at 6:01 pm to
quote:

The central limit theorem only applies when the sample is randomly selected. In this case the sample is chosen by school


If we are using the entire population then we aren't worrying about randomization of a sample because it's not a sample. Furthermore, it is often difficult to get a truly random sample of an entire population and instead use convenience sampling. Guess what? Most of the time the distribution is approximately normal. The generalization of results may be impacted though. Besides the variables themselves are still random and there are statistical methods that are used to account for the non-independence of participants (HLM) if that is necessary.
Posted by SpidermanTUba
my house
Member since May 2004
36128 posts
Posted on 10/1/14 at 11:38 pm to
quote:

Furthermore, it is often difficult to get a truly random sample of an entire population and instead use convenience sampling.



The difficultly in obtaining a random sample doesn't make non-random samples random!


In this case all you need is a list of individual scores - NOT by school - but in some random order.

quote:

and there are statistical methods that are used to account for the non-independence of participants (HLM) if that is necessary.



To account for it for what purpose? Shifting enough schools around in the distribution to make it look normal when it isn't?





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