Vaccination dataset

Question

Python data science

It failed

#your code goes here

dataSet = [0,0,0,0,0,1,1,1,1,1,1,1,1,2,2,2,2,3,3,3]

## MEAN OF DATASET

sumData = 0
for i in range(len(dataSet)):
sumData += dataSet[i]

mean = sumData/len(dataSet)
## mean = 25/20

## VARIANCE OF DATASET

sumSqrt = 0
for i in range(len(dataSet)):
diff = dataSet[i] - mean
sqrt = diff * diff
sumSqrt += sqrt

variance = sumSqrt/len(dataSet)

## OUTPUT
print(dataSet)
print("\nMean is " + str(mean))
print("Variance is " + str(variance))

Answer 1

The code looks good. Could it be the wrong variance formula? The formula seen in the code is to be used when the dataset is the entire population. If the data are only a subset (i.e., a sample) of the full population then it is customary to divide by (N - 1) instead of N.

Viz.
variance = sumSqrt/(len(dataSet)-1)

Answer 2

Thanks

Answer 3

The new code prints the same value as the original post. Eliminating the extra output text made the difference. Code Coach is very particular when comparing output.

Answer 4

I dont know what the problem is can someone help me

Answer 5

I solved it.

Answer 6

import math
#your code goes here
vax = [0, 0, 0, 0, 0, 1, 1,1,1,1,1,1,1,2,2,2,2,3,3,3]

def mean(list):
count = len(list)
total = 0
for i in list:
total += i
return total/count

def vari(mean, list):
count = len(list)
total = 0
for i in list:
total += (abs(i - mean)**2)
return (total/count)

print(vari(mean(vax), vax))

Answer 7

i can help you ;)

import math

vac_nums = [0,0,0,0,0,
1,1,1,1,1,1,1,1,
2,2,2,2,
3,3,3
]
#your code goes here

mean = sum(vac_nums)/len(vac_nums)
variance = [pow(mean-x,2) for x in vac_nums]
variance = sum(variance)/len(variance)
print(variance)