2. One simple version of the standard normal distribution has a probability density function (pdf) given by f(x) = e-*2(For all you statisticians out there, there is some argument to what "standard" should mean. In this case, the mean i = 0 and the variance o? = 1/(2*). It makes the pdf look nice!) (e) (2 points) Label the point corresponding to M (from the error bound formula) on your graph including its value. You can label it with Matlab using the text command (you'll need to look it up), or simply print the graph and label it by hand. Turn in the plot with the label. (f) (3 points) Find an upper bound on the approximation from part (b). (g) (2 points) Compute the exact error and briefly explain how you know that the error theorem is working mAlpha to get these derivatives, but please show your work to how you used these derivatives to create P2. (b) (3 points) Use the Taylor polynomial to estimate e-0.257. Be careful picking ! () (2 points) According to Wolfram Alpha the derivative is for 4-2-1 (2.3 3r 2. One simple version of the standard normal distribution has a probability density function (pdf) given by f(x) = e-*2(For all you statisticians out there, there is some argument to what "standard" should mean. In this case, the mean i = 0 and the variance o? = 1/(2*). It makes the pdf look nice!) (e) (2 points) Label the point corresponding to M (from the error bound formula) on your graph including its value. You can label it with Matlab using the text command (you'll need to look it up), or simply print the graph and label it by hand. Turn in the plot with the label. (f) (3 points) Find an upper bound on the approximation from part (b). (g) (2 points) Compute the exact error and briefly explain how you know that the error theorem is working mAlpha to get these derivatives, but please show your work to how you used these derivatives to create P2. (b) (3 points) Use the Taylor polynomial to estimate e-0.257. Be careful picking ! () (2 points) According to Wolfram Alpha the derivative is for 4-2-1 (2.3 3r