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Testing strongly binned data for normality?

  1. Jun 10, 2010 #1
    Hi,
    if I have some spread over a very small range of binned values, how can I test if the distribution is normal. Basically if it weren't, then the data would be fraud data. Is there a way to calculate something like a probability that the data was not manipulated and is correctly given by the normal distribution?
    My data looks like
    -3 -2 -1 0 1 2 3
    0 1 150 200 150 1 0
    I mean there is a too sharp drop and I'm searching for a probability that the data isn't normal.
     
  2. jcsd
  3. Jun 10, 2010 #2

    EnumaElish

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