Generate a one dimensional 1000 element array of uniformly distributed random
numbers using the numpy.random
module.
- Calculate the mean and standard deviation of the array using
numpy.mean()
andnumpy.std()
. - Choose some other random distribution and calculate its mean and standard deviation.
You can visualize the random distributions with matplotlib’s hist()
function.