Let f(u,) be the probability density function of a normally distributed random variable in R. Write code to plot the isocontours of the following functions, each on its own separate figure. You are free to use Matplotlib, NumPy, and SciPy. [1 (a) (2 points) f(u,E), where, and = = 10 2 - (b) (1 point)f(u, ), where = and (c) (2 points) f(u,)f(2, 2), where = and = = }} }} (d) (2 points) f(1,1)f(2, 2), where = M2 = = and = 14 (e) (1 point) f(1,1) f(2,2), where = H2= = and 2=