Question: 1. If X is a Python list, a 1-dimensional Numpy array, etc., you can compute the sample variance of X using the following formula: var(X)

1. If X is a Python list, a 1-dimensional Numpy array, etc., you can compute the sample variance of X using the following formula: var(X) = (x1 x) (x1 x) + (x2 x) (x2 x) + + (xn x) (xn x) n 1 where n = len(X) and x is the mean (aka average) of X. Suppose X = np.array([1,3,2,5,8,7,12,2,4]). Write your own Python code to find var(X). Do NOT use np.cov( ).

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