Have a look at this generation

input data

def getNum():
nums = []
iNumStr = input('please input a sequence of numbers (enter to exit): ')
while iNumStr != ‘’:
nums.append(eval(iNumStr))
iNumStr = input('please input a sequence of numbers (enter to exit): ')
return nums

The average

def average(numbers):
return sum(numbers) / len(numbers)

Standard deviation

def dev(numbers, average):
sdev = 0.0
for num in numbers:
sdev += (num - average) ** 2
return pow(sdev / len(numbers), 0.5)

Median

def median(numbers):
sorted(numbers)
size = len(numbers)
if size % 2 == 0:
return (numbers[size//2-1] + numbers[size//2]) / 2
else:
return numbers[size//2]

Absolute and relative errors

def rel_dev(numbers, average):
_max = max(abs(max(numbers) - average), abs(min(numbers) - average))
return _max, _max / average

def main():
nums = getNum()
if len(nums) == 0:
print(‘no data’)
else:
ave = average(nums)
devs = rel_dev(nums, ave)
print(‘ and :{:.4f}, The average :{:.4f}, Median :{:.4f}, variance :{:.4f}, Absolute error :{:4f}, Relative error :{:.4f}’
.format(sum(nums), ave, median(nums), dev(nums, ave), devs[0], devs[1]))

if name == ‘main’:
main()