Please post full code in Python coding Your program needs to

*Please post full code* in Python coding

Your program needs to implement the following functions:

def calcMean (scores, count)

// Where scores is an an array/list of integers and

// count is the number of items in the array

// mean is essentially the same as the average.

// return the mean of the data in scores as a float

def calcMedian (scores, count)

// Calculate the median value for the data in scores

// Median is middle value if the number of items is odd

// or the average of the middle two values if the number

// of items is even.

def calcVariance (scores, count)

// Calculate the variance value for the data in scores

// variance is determined using the formula:

the sum of the square of the values / count

- square of the sum of the values / square of the count

def calcStdDev (variance)

// Calculate the standard deviation value for the data in scores

// standard deviation is the square root of the variance

def Histogram ()

// Print a histogram of the data in scores

// the bar chart in chapter 6.10 will give you a

// good starting point.

You will also need to provide a main program to exercise the functions and

a few sample data sets that you use to test the program.

--Thank you!

Solution

from math import sqrt
import plotly.plotly as py
import plotly.graph_objs as go
import numpy as np

def calcMean(scores,count):
   return float(sum(scores))/count

def calcMedian(scores,count):
sortedLst = sorted(scores)
index = (count - 1) // 2
if (count % 2):
return sortedLst[index]
else:
return (sortedLst[index] + sortedLst[index + 1])/2.0

def calcVariance(scores, count):
variance = 0
for i in scores:
variance += (calcMean(scores,count) - scores[i-1]) ** 2
return variance / count

def calcStdDev(scores,count):
sum = 0
mn = calcMean(scores,count)
for i in range(count):
sum += pow((scores[i]-mn),2)
return sqrt(sum/count-1)
  
def Histogram(scores):
   x=scores
   data = [go.Histogram(x=x)]
   py.iplot(data)

def main():
   print(calcMean([1,2,3,4],4))  
   print(calcMedian([1,2,3,4],4))  
   print(calcVariance([1,2,3,4],4))
   print(calcStdDev([1,2,3,4],4))

if __name__ == \'__main__\':
main()