For the following code can you change the factors that impact the total construction cost section into a function(define a function). Where the mean can be entered through by asking for the inputs of the mean value for each of the factors. (i.e., "Please enter the mean value for material", "Please enter the mean value for labour".. etc.). Follwoing this the standard deviation of the factors is calculated and this is all done in a function. Construction management, price and uncertainty analysis. The intent of the code is to use thePython sampling methods to estimate the uncertainty in the project pricing. Assume a project costincludes the price of material, labour cost, property cost, construction data, and anything else youwant to include. However, we know the price, labour cost, construction and other factors willchange during construction period. Let's assume that each of the parameters follow the normaldistribution with a constant standard deviation (i.e., 10% of the mean)Input(suggest input)(1) Factor that impact the total construction cost(2) Assume input for each factor values (including mean value and standard deviation)Minimum output:(1) Statistic property of the potential total cost(2) What is the probability the cost will exceed 10% or 20% of the expected value (based on themean)Please use a function in the code (Define a function) for the factors that impact total constructioncost so to input different values. import numpy as np#Defne the factors that impact the total construction costfactors =["material", "labour", "property", "construction "]#Define the mean and standard deviation of each factormeans =[100,50,50,10]stds = [10,5,5,1]#Sample the values of each factorsamples=np.random.normal (means,stds, size=(100, len(factors)))#Calculate the total cost for each sampletotal_costs-np. sum(samples, axis=1)#Print the statistical properties of the total costprint("mean:", np.mean(total_costs))print("standard deviation:",np.std(total_costs))#Calculate the probability that the total cost will exceed 10% and 20% of the expected valueprob_10=np.mean(total_costs>1.1*np.mean(total_costs))prob_20=np.mean(total_costs>1.2*np.mean(total_costs))#Print the probabilitiesprint("probability of exceeding 10%:", prob_10)print("probability of exceeding 20% : ", prob_20)

Define a function named calculate_total_cost that takes means and stds as input parameters.Inside…

Answered: Construction management, price and…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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For the following code can you change the factors that impact the total construction cost section into a function(define a function). Where the mean can be entered through by asking for the inputs of the mean value for each of the factors. (i.e., "Please enter the mean value for material", "Please enter the mean value for labour".. etc.). Follwoing this the standard deviation of the factors is calculated and this is all done in a function.