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Suppost we have a dataset as below: (Value,Frequency) pairs: (1,2), (2,4), (3,6), (4,8), (5,10)

Can we say that this data is normally distributed, or have a normal distribution for this dataset?

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    I do agree with you, and it is what I think. But in Gaussian Naive Bayes, it is simply supposed that each feature has a gaussian distribution on our class. I am wondering how we can assume that without even observing the data and suppose that all the features can have a Gaussian distribution...2012-06-19

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Easiest way to check is to plot this on a graph. For a normal distribution it should give you a curve with the middle almost perfect symmetry.