To find mean and variance of arrival of objects from the feeder using probability distribution
Python and Visual components tool
The expectation or the mean of a discrete random variable is a weighted average of all possible values of the random variable. The weights are the probabilities associated with the corresponding values. It is calculated as,
The variance of a random variable shows the variability or the scatterings of the random variables. It shows the distance of a random variable from its mean. It is calcualted as
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Construct frequency distribution for the data
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Find the probability distribution from frequency distribution.
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Calculate mean using
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Find
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Calculate variance using
Developed By : Antony Abishek Ref No : 23004375
import numpy as np
L=[int(i) for i in input().split()]
N=len(L); M=max(L)
x=list();f=list()
for i in range (M+1):
c = 0
for j in range(N):
if L[j]==i:
c=c+1
f.append(c)
x.append(i)
sf=np.sum(f)
p=list()
for i in range(M+1):
p.append(f[i]/sf)
mean=np.inner(x,p)
EX2=np.inner(np.square(x),p)
var=EX2-mean**2
SD=np.sqrt(var)
print("The Mean arrival rate is %.3f "%mean)
print("The Variance of arrival from feeder is %.3f "%var)
print("The Standard deviation of arrival from feeder is %.3F "%SD)
The mean and variance of arrivals of objects from feeder using probability distribution are calculated.