**Python Language

can I get help?

. Generate the raw data, pdf and CDF for X Gaussian (100, 100) Generate the raw data, pdf and CDF for X Gaussian (0, 100) Generate the raw data, pdf and CDF for X Gaussian (0, 1) Implement the Q-Function, Q(z). Note: Z Gaussian (0,1) . . Q(z) = 1 - P(Z 0) where Gaussian(0, 1) Find P[Z 1] where Z Gaussian(0, 1) o Find P[Z2] where Z Gaussian(0, 1) o Find P[Z 100) where X Gaussian(100, 100) o Find P[X 110) where X Gaussian(100, 100) Find P[X 120] where X Gaussian(100, 100) Find P[X 0.0] = 2.5 P[Z 1.9] = 0.15865525393145707 P(Z 2.0) = 6.92275013194817921 PEZ 109] = @.5 P[X 119] = 0.15865525393145707 P[X ] - . 15865525393145707 P[X > 120] = 0.92275013194817921 PEX 0) where Gaussian(0, 1) Find P[Z 1] where Z Gaussian(0, 1) o Find P[Z2] where Z Gaussian(0, 1) o Find P[Z 100) where X Gaussian(100, 100) o Find P[X 110) where X Gaussian(100, 100) Find P[X 120] where X Gaussian(100, 100) Find P[X 0.0] = 2.5 P[Z 1.9] = 0.15865525393145707 P(Z 2.0) = 6.92275013194817921 PEZ 109] = @.5 P[X 119] = 0.15865525393145707 P[X ] - . 15865525393145707 P[X > 120] = 0.92275013194817921 PEX