Complete problem 3 in Python

Problem 3 3.1 1] The Epanechnikov kernel is defined by 3 K(u) = Z(1uz) for |u| 51 Perform Epanechnikov kernel density estimation on 1,000 simulated samples from a |_ognormal distribution with s=1 and random state 636. Use a bandwidth of 2.0. Plot the density estimate over the support of the Iognormal distribution. (You can use 2 times the maximum of your samples as an upper bound for the support.) In [ ] : 3.2 Test whether the estimate integrates to unity over the support of the Iognormal distribution. In [ ] : 3.3 Explain the results of your integration