1. Limited time only! Sign up for a free 30min personal tutor trial with Chegg Tutors
    Dismiss Notice
Dismiss Notice
Join Physics Forums Today!
The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

Central Limit Theorem

  1. Aug 8, 2009 #1
    Say I have a a log-normal distrubution of data. I want to use the central limit theorem to calculate how big the sample number should be. I would use the geometric standard deviation and we're dealing with a log normal distribution, correct?

    Using the CLT I can arrive at the equation:

    [tex]n = (\frac{z.\sigma}{EBM})^{2}[/tex]

    Where z is the corrisponding z score from the cofindence level. Using 95% confidence in a 2 tail test yields z to be 1.96. Sigma is the mean (it shouldn't matter if I use the geometric and oppose to the arithmetic right?) and EBM is the error bound for a population mean. Now I need some help here please, on what EBM should typically be? I'm still not sure what EBM actually is... is it the same as 'relative error'

    Is this equation the right way about going to calculate the sample number required?
  2. jcsd
Know someone interested in this topic? Share this thread via Reddit, Google+, Twitter, or Facebook

Can you offer guidance or do you also need help?
Draft saved Draft deleted

Similar Discussions: Central Limit Theorem
  1. Central limit theorem (Replies: 1)

  2. Central Limit Theorem (Replies: 2)