**Python Language

can I get help to find the "outcome" of this lab after "compiling it"?

Programming Problem Modify your lab #4 to do the following: . Use sublots to put the raw data and PMF on the same figure. Generate the CDF for all cases and add to subplot. Encapsulate all plotting functions into their own function Make sure to put your last name in the title of your plots . Sample Output Below is my output for this lab. Uniform: Raw data, Nobs = 10000 Uniform: PMF, Nobs = 10000 Uniform: CDF, Nobs = 10000 = 10 1.0 0.104 8 0.8 0.03 6 0.6 0.05 4 0.4 0.04 2 0.2 0.02 0 0.0 LO 0.00 0 2500 5000 7500 10000 0.0 2.5 5.0 7.5 10.0 0.0 2.5 5.0 7.5 10.0 1 Binomial: PDF. Nobs = 10 Binomial: CDF, Nobs = 10 , Binomial: Raw Data, Nobs = 10 10 0.7 10 8 0.0 - 0.8 0.5 6 6 0.6 0.1 4 0.4 0.3 0.2 2 0.2 0.1 0.0 0.0 7500 10000 0 2500 5000 0.0 2.5 5.0 7.5 100 0.0 2.5 5.0 7.5 10.0 Geometric: PDF, Nobs = 10 Geometric: CDF, Nobs = 10 Geometric: Raw Data, Nobs = 10 : 20- 1.0 - 1.4 0.8 8 - 1.2 1.0 0.6 6- 0.8 0.4 0.6 4 0.4 0.2 2 0.2 0.0 0.0 0 100 200 8 10 2 4 b & 8 10 Programming Problem Modify your lab #4 to do the following: . Use sublots to put the raw data and PMF on the same figure. Generate the CDF for all cases and add to subplot. Encapsulate all plotting functions into their own function Make sure to put your last name in the title of your plots . Sample Output Below is my output for this lab. Uniform: Raw data, Nobs = 10000 Uniform: PMF, Nobs = 10000 Uniform: CDF, Nobs = 10000 = 10 1.0 0.104 8 0.8 0.03 6 0.6 0.05 4 0.4 0.04 2 0.2 0.02 0 0.0 LO 0.00 0 2500 5000 7500 10000 0.0 2.5 5.0 7.5 10.0 0.0 2.5 5.0 7.5 10.0 1 Binomial: PDF. Nobs = 10 Binomial: CDF, Nobs = 10 , Binomial: Raw Data, Nobs = 10 10 0.7 10 8 0.0 - 0.8 0.5 6 6 0.6 0.1 4 0.4 0.3 0.2 2 0.2 0.1 0.0 0.0 7500 10000 0 2500 5000 0.0 2.5 5.0 7.5 100 0.0 2.5 5.0 7.5 10.0 Geometric: PDF, Nobs = 10 Geometric: CDF, Nobs = 10 Geometric: Raw Data, Nobs = 10 : 20- 1.0 - 1.4 0.8 8 - 1.2 1.0 0.6 6- 0.8 0.4 0.6 4 0.4 0.2 2 0.2 0.0 0.0 0 100 200 8 10 2 4 b & 8 10