I'm going through some PowerPoint slides in my class and they say that you can predict the shape of a binomial probability distribution just knowing $n$ and $p$ because $\mu = n * p$ and $\sigma^2 = n * p * q$.
The only things I understand are that the values should pile up at the mean and the horizontal axis should go up to 10. I have no idea how to predict the values on the vertical axis or how $\sigma^2$ comes into play.
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