Problem:
Standard Deviation You have final scores of an examination for n students. Calculate standard deviation of the scores s 1 , s 2 ... s n . The variance α 2 is defined by α 2 = (∑ n i =1 (s i - m) 2 )/n where m is an average of s i .

  The standard deviation of the scores is the square root of their variance. Input The input consists of multiple datasets. Each dataset is given in the following format:  n  s 1  s 2 ... s n  The input ends with single zero for n . Output For each dataset, print the standard deviation in a line. The output should not contain an absolute error greater than 10 -4 . Constraints  n ≤ 1000  0 ≤ s i ≤ 100  Sample Input 5
70 80 100 90 20
3
80 80 80
0 Sample Output 27.85677655
0.00000000

Solution (Python):

import math

while True:
    n = int(input())
    if n == 0:
        break
    else:
        sigma = 0
        n_list = list(map(int, input().split()))
        avg = sum(n_list) / n
        for i in range(n):
            sigma += (n_list[i] - avg) ** 2
        a = math.sqrt(sigma / n)
        print(abs(a))

Solution (Python):
import statistics

results = []
while True:
    n = int(input())
    if n == 0:
        break
    scores = list(map(int, input().split()))
    results.append(statistics.pstdev(scores))

for r in results:
    print(r)

Solution (Python):
import sys, math
while True:
    n = int(input())
    if n == 0:
        sys.exit()
    s = list(map(int, input().split()))
    m = sum(s) / n
    S = 0
    for i in range(n):
        S += (s[i] - m) ** 2
    S /= n
    a = math.sqrt(S)
    print(a)

Solution (Python):
import math
a=[]
while True:
    tmp=int(input())
    if tmp==0:
        break
    tmp1=[]
    tmp1.append(tmp)
    tmp1.append(list(map(int,input().split(" "))))
    a.append(tmp1)
for i in a:
    ave=sum(i[1])/i[0]
    sgm=math.sqrt(sum([(i[1][j]-ave)**2 for j in range(i[0])])/i[0])
    print(sgm)

Solution (Python):
import math
ans=[]
while True:
  n=int(input())
  if n==0:
    break
  S=list(map(int,input().split(' ')))
  mean=0

  for i in range(n):
    mean+=S[i]
  mean/=n

  a2=0
  for i in range(n):
   a2+=(S[i]-mean)**2

  a2/=n
  a=math.sqrt(a2)
  ans.append(a)


for i in range(len(ans)):
  print(ans[i])

Solution (Python):
while True:
    n = int(input())
    if n == 0:
        break
    else:
        a = list(map(int, input().split()))
        m = sum(a)/n
        sigma = 0
        for i in range(n):
            sigma += (a[i] - m)**2
        bun = sigma/n
        ans = bun**(1/2)
    print(ans)

Solution (Python):
import math

while True:
  total_scores = int(input())

  if total_scores == 0:
    break
  
  scores = [int(x) for x in input().split()]

  average_of_scores = sum(scores) / total_scores

  deviation_total = 0

  for score in scores:
    deviation_total += math.pow((score - average_of_scores), 2)

  variance = deviation_total / total_scores

  standard_deviation = math.sqrt(variance)  
  standard_deviation = "{:.8f}".format(standard_deviation)

  print(standard_deviation)

Solution (Python):
import math
S = list(map(int, open(0).read().split()))
i = 0
while i < len(S):
    n = S[i]
    if n == 0:
        break
    s = S[i+1:i+1+n]
    i+=(1+n)
    avg = sum(s) / n
    a2 = sum([(avg - x)**2 for x in s]) / n
    a = math.sqrt(a2)
    print("{:.8f}".format(a))

Solution (Python):
import math
while True:
    n=int(input())
    if n==0:
        break
    
    lis=list(map(int,input().split()))
    m=sum(lis)/n
    s=0
    for i in range(n):
        s+=(lis[i]-m)*(lis[i]-m)
    a=math.sqrt(s/n)
    print("{:10f}".format(a))

Solution (Python):
import math
while True:
    n=int(input())
    if n==0:
        break
    else:
        s=list(map(int,input().split()))
        S=sum(s)
        m=S/n
        a2=0
        for j in range(n):
            a2+=(s[j]-m)**2
        a2=a2/n
        a=math.sqrt(a2)
        print(f'{a:.4f}')

Solution (Python):
import statistics as st
while True:
    n=int(input())
    if n==0:
        break
    s=list(map(int,input().split()))
    print(f'{st.pstdev(s):.5f}')

Solution (Python):
import math
while True:
   n=int(input())
   if n==0:
      break
   s=list(map(int, input().split()))
   m = sum(s)/n
   a=0
   for i in range(n):
      a += (s[i]-m)**2
   a=a/n
   print(math.sqrt(a))

Solution (Python):
while True:
    n=int(input())
    if n==0:
        break    
    else:    
        s=list(map(int,input().split()))
        h=(sum(s))/n
        a=0
        for i in range(n):
            a+=(s[i]-h)**2
            b=(a/n)**(1/2)
        print('{:.8f}'.format(b))

Solution (Python):
import math
while True:
 n = int(input())
 if n == 0: break
 s = list(map(int,input().split()))
 m = sum(s)/len(s)
 a = math.sqrt(sum((i-m)**2 for i in s)/len(s))
 print(format(a,'.8f'))

Solution (Python):


while True:
    n = int(input())
    if n == 0:
        break
    
    s = list(map(int, input().split()))
    m = sum(s)/n
    v = 0
    for si in s:
        v += (si - m)**2
    import math
    ans = math.sqrt(v/n)
    
    print("{:.5f}".format(ans))

Solution (Python):
import math
B=0

while True:
    N=int(input())
    
    if N==0:
        break
    L=list(input().split())
    L=[int(s) for s in L]
    M=sum(L)/len(L)
    
    for i in range(N):
        B+=(L[i]-M)**2
        i+=1
    
    A=B/N
    A=math.sqrt(A)
    
    print(A)
    B=0

Solution (Python):
while True:
    
    n = int(input())
    if n == 0:
        break
    
    data = list(map(int, input().split()))
    sum, mean = 0, 0
    for i in range(n):
        sum += data[i]
        if i == n - 1:
            mean = sum / n
    
    diff = 0
    for i in range(n):
        diff += (data[i] - mean) ** 2
    
    print((diff / n) ** 0.5)

Solution (Python):
while True:
    n=int(input())
    if n==0:
        break
    lst=[float(s) for s in input().split()]
    m=sum(lst)/n
    lst1=[]
    for i in range(n):
        x=(lst[i]-m)**2
        lst1.append(x)
    print(f'{(sum(lst1)/n)**(1/2):10.8f}')

Solution (Python):
import math
ans=[]
while True:
  n=int(input())
  if n==0:
    break
  S=list(map(int,input().split(' ')))
  mean=0

  for i in range(n):
    mean+=S[i]
  mean/=n

  a2=0
  for i in range(n):
   a2+=(S[i]-mean)**2

  a2/=n
  a=math.sqrt(a2)
  ans.append(a)


for i in range(len(ans)):
  print(ans[i])

Solution (Python):
while 1 :
    n=int(input())
    if n==0 : break
    lst=list(map(int,input().split()))
    ave=sum(lst)/n
    sigma=sum([(x-ave)**2 for x in lst])/n
    print(sigma**0.5)

Solution (Python):
from functools import reduce


def resolve():
    while (True):
        n = int(input())
        if n == 0:
            break
        ss = list(map(int, input().split()))

        m = sum(ss) / n
        a2 = reduce(lambda x, y: x + (y - m) ** 2, ss, 0)
        print((a2 / n) ** 0.5)


resolve()

Solution (Python):
import math

while True:
    n = float(input())
    if n == 0:
        break
    nums = list(map(int, input().split()))

    avg = sum(nums) / n
    a = []
    for s in nums:
        a.append(abs(s - avg) ** 2)
    print(math.sqrt(sum(a) / n))

Solution (Python):
import math
while True:
    n=int(input())
    if n==0:
        break
    s=list(map(int,input().split()))
    a=sum(s)/n
    b=0
    for i in range(n):
        b+=(s[i]-a)**2
    c=b/n
    print(math.sqrt(c))

Solution (Python):
while True:
    n = int(input())
    if n == 0:
        break
    S = list(map(int, input().split()))
    m = sum(S) / n
    D = [(i - m)**2 for i in S]
    v = sum(D) / n
    SD = v**0.5
    print(SD)

Solution (Python):
import statistics
while True:
    n = int(input())
    if n == 0:
        break

    li = [int(x) for x in list(input().split())]
    stdev = statistics.pstdev(li)
    print(round(stdev, 8))

Solution (Python):
import math

while True:
    n=int(input())
    if n==0:
        break
    
    s=list(map(int,input().split()))
    m=sum(s)/n
    A=0
    for i in range(n):
        A+=(s[i]-m)**2
    a=math.sqrt(A/n)
    print(f'{a:.8f}')

Solution (Python):
import math
while True:
    n = int(input())
    if n==0:
        break
    s =list(map(int,input().split()))
    
    m = sum(s)/len(s)
    S=0
    for i in range(n):
        S += (s[i]-m)**2
    
    A = S/n
    a = math.sqrt(A)
        
    print(f'{a:.08f}')

Solution (Python):
while True:
    n=int(input())
    if n==0:
        break
    s=list(map(int,input().split()))
    m=sum(s)/len(s)
    sig=0
    for i in range(n):
        sig=sig+(s[i]-m)**2
    print('{:.5f}'.format((sig/n)**(1/2)))

Solution (Python):
import math
while True:
    n = int(input())
    if n == 0:
        break
    s = list(map(float,input().split()))
    m = sum(s) / n
    a = 0
    for i in range(n):
        a += (s[i]-m)**2
    print('{:.8f}'.format(math.sqrt(a/n)))

Solution (Python):
while input()!='0':
    n=list(map(int,input().split()))
    b=len(n)
    a=sum(n)/b
    print((sum((x-a)**2 for x in n)/b)**0.5)

Solution (Python):
from enum import Enum
import sys
import math

BIG_NUM = 2000000000
MOD = 1000000007
EPS = 0.000000001


while True:
    N = int(input())
    if N == 0:
        break
    table = list(map(int,input().split()))

    tmp_sum = 0
    for i in range(len(table)):
        tmp_sum += table[i]
    B = tmp_sum/len(table) 

    squared_sum = 0
    for i in range(len(table)):
        squared_sum += table[i]*table[i]
    A = squared_sum/len(table)

    print("%.10f"%(math.sqrt(A-B*B)))

Solution (Python):
import math

while True:
    n = int(input())
    if n == 0:
        break

    buf = input().split()
    dataset = []
    sum = 0
    for i in range(n):
        dataset.append(int(buf[i]))
        sum += dataset[i]

    ave = sum / n

    v_sum = 0
    for i in range(n):
        v_sum += (dataset[i] - ave) ** 2

    v = v_sum / n

    print(math.sqrt(v))

Solution (Python):
import math
while True:
    n = int(input())
    if n == 0:
        break
    else:
        s = list(map(int, input().split()))
        m = sum(s)/n
        a = 0
        for i in range(n):
            a += (s[i]-m)**2
        b = a/n
        print(math.sqrt(b))

Solution (Python):
import math
while True:
    try:
        n=int(input())
        if n==0:
            break
        else:
            x=list(map(int,input().split()))
            s=sum(x)
            ave=s/n
            y=[]
            for i in range(n):
                m=(x[i]-ave)*(x[i]-ave)
                y.append(m)
            a=sum(y)/n
            print(math.sqrt(a))
                
            
    except EOFError:
        pass

Solution (Python):


import math

def main():
    while True:
        n = int(input())
        if n==0:
            break
        scores=[]
        scores=list(map(int,input().split()))
        avg=sum(scores)/len(scores)
        datas=len(scores)
        tmp=0
        for score in scores:
            tmp+=(score-avg)**2
        print(math.sqrt(tmp/datas))

if __name__=="__main__":
    main()

Solution (Python):
import math
while True:
    n = int(input())
    if n == 0:
        break
    students = list(map(int,input().split()))
    sum_s = sum(students)
    ave = sum_s/n
    bun = 0
    for s in students:
        bun += (ave - s) ** 2
    bun /= n

    print(math.sqrt(bun))

Solution (Python):
import math
while True:
    n=int(input())
    if n==0:
        break
    
    s=list(map(int,input().split()))
    m=sum(s)/n
    aa=0
    for i in range(n):
        aa+=(s[i]-m)**2
    
    print('{:.8f}'.format(math.sqrt(aa/n)))

Solution (Python):
while True:
    n=int(input())
    if n==0:
        break
    
    a=list(map(int,input().split()))
    
    ave=sum(a)/n
    
    k=0
    m=0
    for i in range(n):
        k=(a[i]-ave)**2
        m+=k
    
    s=(m/n)**(1/2)
    print('{:.8f}'.format(s))

Solution (Python):
import math


def deviation(data: list):
    ave = sum(data) / len(data)
    return math.sqrt(sum([(d - ave) ** 2 for d in data]) / n)


while True:
    n = int(input())
    if n == 0:
        break
    data =  [int(i) for i in input().strip().split()]
    print(deviation(data))

Solution (Python):
while True:
    n=int(input())
    if n==0:
        break
    score=list(map(int,input().split()))
    mean=sum(score)/n
    var_sum=0
    for i in range(n):
        var_sum+=(score[i]-mean)**2
    print((var_sum/n)**0.5)

Solution (Python):
for i in range(10**6):
    n=int(input())
    if n==0:
        break
    L=list(map(int,input().split()))
    Ave=sum(L)/n
    CV=0
    for j in range(n):
        CV+=(L[j]-Ave)**2
    print((CV/n)**0.5)

Solution (Python):
while True:
    N = int(input())
    if N == 0:
        break
    scores = list(map(int, input().split()))
    m = sum(scores) / N
    print((sum((score - m) ** 2 for score in scores) / N) ** 0.5)

Solution (Python):
import math

while True:
    n = int(input())
    tot = 0
    ave = 0
    moto = 0
    if n == 0:
        break
    s = list(map(int,input().split()))
    for i in range(n):
        tot += s[i]
    ave = tot/n
    for i in range(n):
        moto += (s[i]-ave)**2
    bunsan = moto/n
    hh = math.sqrt(bunsan)
    print('{:.8f}'.format(hh))

Solution (Python):
import math

i = 0
j = 0
k = 0
n = []
s = []
while True:
    n.append(int(input()))
    if n[i] == 0:
        break

    s.append(list(map(int, input().split())))
    i += 1

a = [] * (len(n) - 1)

while True:
    if j == len(n) - 1:
        break

    sumsum = 0
    avr = sum(s[j]) / n[j]
    for k in range(n[j]):
        sumsum += (s[j][k] - avr) ** 2
    
    print(math.sqrt(sumsum / n[j]))

    j += 1

Solution (Python):
import math


while True:

    n = int(input())
    if n == 0:
        break

    else:
        point = list(map(int, input().split()))

        average = sum(point)/len(point)

        p_sum = []

        for i in range(n):
            delta = (point[i] - average)**2
            p_sum.append(delta)

        sigma = math.sqrt(sum(p_sum) / len(point))

        print(sigma)

Solution (Python):
while True:
    num = int(input())
    if num == 0:
        break
    scores = [int(n) for n in input().split()]
    
    mean = sum(scores) / num
    sums = 0
    for index in range(num):
        sums += (scores[index] - mean) ** 2
    print((sums / num) ** 0.5)

Solution (Python):
def cal(a,b):
    return a-b
while True:
    n = int(input())
    if n == 0:
        break
    data = list(map(int,input().split()))
    avg = sum(data)/len(data)
    temp = list(map(lambda x:(x-avg)**2,data))
    mean = (sum(temp)/len(temp))**0.5
    print(mean)

Solution (Python):
import math
while True:
    n = int(input())
    if n == 0:
        break
    s = list(map(int,input().split()))
    m = sum(s) / n
    a = 0
    for i in range(n):
        a += (s[i] - m)**2
    print(math.sqrt(a / n))

Solution (Python):
import statistics
import math

while True:
    n = int(input())
    if n == 0:
        break
    d = list(map(int, input().split()))
    pstdev = statistics.pstdev(d)
    print(pstdev)

Solution (Python):
while True:
    N = int(input())
    if N == 0:
        break
    S = [int(n) for n in input().split()]
    M = sum(S) / len(S)
    a = sum([(s-M)**2 for s in S]) / len(S)
    print(a**0.5)

Solution (Python):
import math
while True:
    n = int(input())
    if n == 0:
         break
    a = list(map(int,input().split()))
    s = 0
    for i in range(n):
        s += a[i]
    S = s/n
    h = 0
    for j in range(n):
        h += ((a[j]-S)**2)/n
    c = math.fabs(math.sqrt(h))
    print(f'{c:.8f}')

Solution (Python):
import math
if __name__ == '__main__':
    def sig(s, m):
        ans = (s-m)**2
        return ans

    while(True):
        n = int(input())
        if n == 0:
            break
        ds = input()
        s = ds.split()
        ave = sum([int(i) for i in s])/len(s)
        ans = 0
        for sn in s:
            ans += sig(int(sn), ave)
        else:
            ans = math.sqrt(ans/len(s))

        print(ans)

Solution (Python):
import statistics

def main():
    while (True):
        n = int(input())
        if (n == 0):
            break
        s = list(map(int, input().split()))
        answer = statistics.pstdev(s)
        print(answer)

if __name__ == '__main__':
    main()

Solution (Python):
import math
while True:
    N = int(input())
    if N == 0:
        break
    S = list(map(int, input().split()))
    SS = [x**2 for x in S]

    avg_S = sum(S)/len(S)
    avg_SS = sum(SS)/len(SS)
    print(math.sqrt(avg_SS - avg_S**2))

Solution (Python):
import math
while True:
  t = []
  a = int(input())
  if a == 0:
    break
  else:
    x = list(map(int,input().split()))
    m = sum(x)/len(x)
    for i in range(len(x)):
      d = 0
      d = m-x[i]
      d = d**2
      t.append(d)
    print(math.sqrt(sum(t)/len(t)))

Solution (Python):
import math
results = []

while True:
    n = int(input())
    if n == 0:
        break

    s = list(map(float, input().split()))
    mean = sum(s)/len(s) 
    s = list(map(lambda x: (x - mean)**2, s))
    d = math.sqrt(sum(s)/ len(s))
    results.append(d)

for result in results:
    print(result)

Solution (Python):
import math

while(True):
    n = int(input())
    if n == 0:
        break
    
    s = []
    s = [int(i) for i in input().split()]
    average = sum(s) / n
    a = 0
    for i in range(n):
        a += pow(s[i] - average,2)
    se = math.sqrt(a/n)  
    print('{:.10f}'.format(se))

Solution (Python):
import math

while True:
    result = 0
    sums = 0
    num = int(input())
    if num == 0:
        break
    results = input().split(' ')
    for i in results:
        sums += int(i)
    average = sums / len(results)
    for i in results:
        result += (int(i) - average) ** 2
    
    result = result / len(results)
    
    print('{:.8f}'.format(math.sqrt(result)))

Solution (Python):
from statistics import pstdev

while True:
    n = int(input())
    if not(n):
        break
    s = list(map(int, input().split()))
    print(pstdev(s))

Solution (Python):
import math
while True:
    n = int(input())
    if n == 0:
        break
    a = 0
    l = list(map(int, input().split()))
    m = sum(l)
    m = m / n
    for i in l:
        a += math.pow(i-m, 2)
    a /= n
    a = math.sqrt(a)
    print(a)

Solution (Python):

import statistics
while True:
    n = int(input())
    if n == 0:
        break
    list_point = [int(_) for _ in input().split()]
    average = statistics.mean(list_point)
    list_from_ave2 = [(list_point[i] - average)**2 for i in range(n)]
    sigma2 = sum(list_from_ave2) / n
    sigma = sigma2 ** (1 / 2)
    
    print(f"{sigma:.5f}")

Solution (Python):
while True:
    n = int(input())
    if n == 0:
        break
    a = list(map(int, input().split(' ')))
    x = 0
    for i in a:
        x = x + i
    m = x / n
    t = 0
    for i in a:
        t = t + (i - m)**2
    t = t / n
    t = t**(1/2)
    print(t)

Solution (Python):
import math

while(True):
  n = int(input())
  if (n == 0):
    break
    
  s = [float(num) for num in input().split()]
  m = sum(s)/len(s)
  
  a2 = 0
  for ss in s:
    a2 += (ss-m)**2
  a2 /= n
  print(math.sqrt(a2))

Solution (Python):
import math
while True:
    n = int(input())
    if n == 0:
        break
    m = list(map(int,input().split()))
    h = sum(m)/n
    b = 0
    for i in range(n):
        a = (m[i]-h)**2
        b += a
    print("{0:.8f}".format(math.sqrt(b/n)))

Solution (Python):
import math
while True:
    n = int(input())
    if n == 0:
        break
    m = list(map(int,input().split()))
    h = sum(m)/n
    b = 0
    for i in range(n):
        a = (m[i]-h)**2
        b += a
    print("{0:.8f}".format(math.sqrt(b/n)))

Solution (Python):
import math
while True:
    n=int(input())
    if n==0:
        break
        
    s=list(map(int,input().split()))
    m=sum(s)/n
    
    X=sum([(float(s[i])-m)**2 for i in range(n)])
    alphaalpha=X/n
    print("{0:.8f}".format(math.sqrt(alphaalpha)))

Solution (Python):
import math

while True:
    n=int(input())
        
    if n==0:
        break
    l=list(map(int,input().split()))
    m=sum(l)/len(l)
    
    s=[]
    for i in range(n):
        k=(l[i]-m)**2
        s.append(k)
    
    print(math.sqrt(sum(s)/n))

Solution (Python):
import math
while True:
    peple = int(input())
    Sum = 0
    Sumhen = 0
    if peple == 0:
        break
    test = [int(x) for x in input().split()]
    for i in range(peple):
        Sum += test[i]
    j = Sum/float(peple)
    for k in range(peple):
        Sumhen += (test[k] - j)**2
    print("{0:.8f}".format(math.sqrt(Sumhen/float(peple))))

Solution (Python):
from math import sqrt
while True:
  n = int(input())
  if n == 0:
    break
  else:
    score = list(map(int, input().split()))
    ave = sum(score) / n
    diviation = [(ave-i)**2 for i in score]
    variance = sum(diviation) / n
    standard_diviation = sqrt(variance)
  print(standard_diviation)

Solution (Python):
while True:
    n=int(input())
    if n==0:
        break
    s=list(map(int,input().split()))
    m=sum(s)/n
    a=0
    for si in s:
        a+=(si-m)**2
    b=(a/n)**0.5
    print("{:.5f}".format(b))

Solution (Python):
import math

while True:
    n = int(input())
    if n == 0:
        break
    else:
        s = list(map(int, input().split()))
        m = sum(s) / n
        tmp = 0
        for i in range(n):
            tmp += (s[i] - m)**2
        a = math.sqrt(tmp/n)
        print('{:.5f}'.format(a))

Solution (Python):
import math
while True:
    n=int(input())
    if n == 0:
        break
    a=list(map(int,input().split()))
    m=sum(a)/n
    z=0
    for i in range(n): 
        x=a[i]-m
        y=x**2
        z += y
    b=z/n
    c=math.sqrt(b)
    print('{:.8f}'.format(c))

Solution (Python):
while int(input()):
    s=list(map(int,input().split()))
    n=len(s)
    a=sum(s)/n
    print((sum(x*x for x in s)/n-a*a)**.5)

Solution (Python):
import math
import statistics
while 1:
    n = int(input())
    if n == 0:  break
    data = list(map(int, input().split()))
    
    print(statistics.pstdev(data))

Solution (Python):
while True:
    n=int(input())
    if n==0:
        break
    score=list(map(int,input().split()))
    mean=sum(score)/n
    var_sum=0
    for i in range(n):
        var_sum+=(score[i]-mean)**2
    print((var_sum/n)**0.5)

Solution (Python):
import math
while True:
    n=int(input())
    if n==0:
        break
    s=list(map(int,input().split()))
    ave=sum(s)/n
    ssum=0
    for i in s:
        ssum+=(i-ave)*(i-ave)
    print(math.sqrt(ssum/n))

Solution (Python):
import math

while True:
    n = int(input())
    if n == 0:
        break
    data = list(map(int,input().split()))
    m = sum(data)
    m = m / n
    
    x = 0
    a = 0
    for i in range(n):
        S = data[x]
        X = (S - m)**2 / n
        a = a + X
        x = x + 1
    
    print(math.sqrt(a))

Solution (Python):
while True:
    n=int(input())
    if n==0:
        break
    
    s=list(map(int,input().split()))
    m=sum(s)/n
    sa=0

    for i in range(n):
        sa+=(s[i]-m)**2
    
    a2=sa/n
    a=a2**(1/2)
    print(a)

Solution (Python):
from statistics import pstdev

for _ in range(1000):
    n = int(input())

    if n == 0:
        break

    arg = list(map(int, input().split()))



    print(pstdev(arg))

Solution (Python):
while 1:
  n=int(input())
  if n==0:
    break
  s=list(map(int,input().split()))
  m=sum(s)/n
  a=(sum([(x-m)**2 for x in s])/n)**0.5
  print(a)

Solution (Python):



import math
while True:
    N = int(input())
    if N == 0: break
    s = list(map(int, input().split()))
    m = sum(s) / len(s)
    print(math.sqrt(sum([(s-m)**2 for s in s])/N))

Solution (Python):

from sys import stdin
import math

while True:
    n = int(stdin.readline().rstrip())
    if n == 0:
        break
    l = list(map(int, stdin.readline().split()))
    s = 0
    for i in l:
        s += i
    m = s / n
    a = 0
    for i in l:
       a += math.pow((i - m),2)
    variance = a / n
    stdev = math.sqrt(variance)
    print('{0:.8f}'.format(stdev))

Solution (Python):
while True:
    n = int(input())
    if n == 0:
        break
    S = list(map(int,input().split()))
    Ave = sum(S)/n
    sum2 = 0
    for x in S:
        sum2 += (x-Ave)**2
    Std = (sum2/n)**0.5
    print(Std)

Solution (Python):
output = []
while True:
    number = int(input())
    if number == 0:
        break
    table = list(map(int, input().split()))

    tmp_sum = 0
    for i in range(len(table)):
        tmp_sum += table[i]
    average = tmp_sum / len(table)

    squared_sum = 0
    for i in range(len(table)):
        squared_sum += (table[i] - average) ** 2
    standard_deviation = (squared_sum / len(table)) ** 0.5
    output.append(standard_deviation)
for i in output:
    print('{:.10f}'.format(i))

Solution (Python):
import math
while True:
    n=int(input())
    if n==0: break
    s=list(map(int,input().split()))
    m=sum(s)/n
    x=0
    for i in range(n):
        x+=(s[i]-m)**2
    a=x/n
    print(math.sqrt(a))

Solution (Python):
from statistics import pstdev

while True:
    n = int(input())
    if n == 0:
        break
    else:
        S = list(map(float, input().split()))

        print(pstdev(S))

Solution (Python):
y = []
while True:
    n = int(input())
    if n == 0:
        break
    x = list(map(float,input().split()))
    m = sum(x)/n
    v = list(map(lambda l: (l-m)**2,x))
    y.append((sum(v)/n)**0.5)
for i in range(len(y)):
    print(y[i])

Solution (Python):
while True:
    n=int(input())
    if n == 0:
        break
    a=list(map(int, input().split()))
    m=sum(a)/n
    std=0
    for i in range(n):
       std+=(a[i]-m)**2
    std/=n
    print(std**0.5)

Solution (Python):
import sys
import statistics

input = sys.stdin.readline

def main():
    while True:
        n = int(input().rstrip())
        if n == 0:
            sys.exit()
        s = list(map(int, input().rstrip().split()))
        print(statistics.pstdev(s))
        
    
if __name__ == "__main__":
    main()

Solution (Python):
import math
while True:
    n=int(input())
    if n==0:
        break
    s=0
    lst=input().rstrip().split()
    lst=[int(s) for s in lst]
    m=sum(lst)/n
    for i in range(n):
        s+=(lst[i]-m)**2
    print("{:.8f}".format(math.sqrt(s/n)))

Solution (Python):
import math

def standard_deviation(ls):
    n=len(ls)
    ave=sum(ls)/float(n)
    var=.0
    for x in ls:
        var+=((x-ave)**2)/float(n)
        
    return math.sqrt(var)
    
    

def run():
    
    while True:
    
        n=int(input())
        
        if n==0:
            break
        
        ls=list(map(float,input().split()))
            
        
        var=standard_deviation(ls)
        print(f"{var}")
        

run()

Solution (Python):
while True:
    n=int(input())
    if n==0:
        break

    s=list(map(float,input().split()))
    n=len(s)
    m=sum(s)/n

    aa = 0

    for e in s:
        aa += (e-m)**2
    
    aa /= n
    aa **=0.5

    print("{:.10f}".format(aa))

Solution (Python):
import math
dataset=[]
while True:
	num=int(input())
	if num==0:
		break
		
	scores=[int(x) for x in input().split(' ')]
	dataset.append([num,scores])


for d in dataset:
	num=d[0]
	scores=d[1]
	fsum=sum(scores)
	average=fsum/num

	sts=[i-average for i in scores]
	bunsan=sum([i**2 for i in sts])/num
	sd=math.sqrt(bunsan)
	print("{:.4f}".format(sd))

Solution (Python):
import math

while True:
    n = int(input())
    if n == 0:
        break

    score_list = list(map(int, input().split()))
    ave = sum(score_list) / n
    a2 = 0
    for s in score_list:
        a2 += (s - ave)**2
    a2 /= n
    a = a2**0.5
    print(a)

Solution (Python):
import math
while True:
    n = int(input())
    if n == 0:
        break
    x = list(map(int, input().split()))
    
    y = sum(x)/n
    a = 0
    for i in range(n):
        a += (x[i]-y)**2
    
    m = math.sqrt(a/n)
    print(f'{m:.8f}')

Solution (Python):


import statistics
import math

while True:
    n = int(input())
    if n==0:
        break
    
    s= list(map(int,input().split()))
    A = statistics.pstdev(s)
    print(A)

Solution (Python):
while True :
    n = int(input())
    l = []
    if n == 0 :
        break
    s = list(map(int,input().split()))
    ave = sum(s)/n
    for i in range(n):
        l.append((s[i]-ave)**2)
    ans = sum(l)/n
    print(ans**0.5)

Solution (Python):

while True:
    n = int(input())
    if n==0: break
    s = list(map(int,input().split()))
    
    r = 0
    m = sum(s)/n
    
    for i in range(n): r += (s[i]-m)**2
    print("{:.8f}".format((r/n)**.5))

Solution (Python):
import math
while True:
    n=int(input())
    
    if n == 0:
        break
    
    s = list(map(int,input().split()))
    
    m = sum(s)/n
    
    S = 0
    for i in range(n):
        S += (s[i]-m)**2

    a2=  math.sqrt(S/n)



    print('{:.8f}'.format(a2))

Solution (Python):
import  math

while True:
    n=int(input())
    if n==0:
        break

    score=list(map(int,input().split()))
    m=float(sum(score)/n)
    er=[(score[i]-m)**2 for i in range(n)]
    var=sum(er)/n
    sigma=math.sqrt(var)
    print(sigma)

Solution (Python):
import statistics
while True:
    n = int(input())
    if n == 0:
        break
    s = list(map(int, input().split()))
    print(statistics.pstdev(s))

Solution (Python):
for i in range(10**5):
    n = int(input())
    if n == 0:
        break
    else:
        s = list(map(int,input().split()))
        k = sum(s)/n
        ans = 0
        for i in range(n):
            ans += ((s[i]-k)**2)/n
        print("{:.10}".format(ans**0.5))

Solution (Python):
while True:
    n = int(input())

    if n == 0:
        break

    score = list(map(float, input().split()))
    ave = sum(score)/float(n)

    score_sum = 0.0

    for i in range(n):
        score_sum += (score[i]-ave)**2

    sigma = (score_sum/float(n))**0.5

    print('{:.08f}'.format(sigma))

Solution (Python):
import math
while True:
    n = int(input())
    if n==0: break
    S = list(map(int, input().split()))
    mean = sum(S) / n
    dev = sum([(s-mean)**2 for s in S]) / n
    sigma = math.sqrt(dev)
    print(sigma)

Solution (Python):
import math
while True:
    n=int(input())
    if n==0:
        break
    else:
        s=list(map(int,input().split()))
        S=sum(s)
        m=S/n
        i=0
        a=[]
        for i in range(n):
            i+=1
            ai=float((s[i-1]-m)**2)
            a.append(ai)
        A2=sum(a)/n
        A=math.sqrt(A2)
        print(f'{A:.8f}')

Solution (Python):



while True:
   n = int(input())
   if n == 0:
      break

   s = list(map(int, input().split()))
   
   m = sum(s) / n
   b = 0
   for i in range(n):
      b += (s[i] - m) ** 2
   
   ans = (b / n) ** 0.5
   print(ans)

Solution (Python):
import math

while True:
    n = int(input())
    if n == 0:
        break
    s = list(map(int, input().split()))
    s_ = sum(s) / n
    alpha = 0
    for i in s:
        alpha += (i - s_) ** 2
    print(format(math.sqrt(alpha/n), '.8f'))

Solution (Python):
def resolve():
    import math
    n = int(input())
    while n != 0:
        sn = [int(i) for i in input().split()]
        m = sum(sn) / n
        sumA = 0
        for s in sn:
            sumA += ((s - m)**2) / n
        print(math.sqrt(sumA))
        n = int(input())


resolve()

Solution (Python):
import math

while True:
    n = int(input())
    if n == 0:
        break
    s = [int(i) for i in input().split()]
    average = sum(s) / n
    dispersion = 0
    for i in range(n):
        dispersion += (s[i] - average) ** 2 / n
    dispersion = math.sqrt(dispersion)
    print("{:.8f}".format(dispersion))

Solution (Python):
import math

while True:
    N = int(input())
    if N == 0:
        break
    scores = list(map(float, input().split()))
    n = len(scores)
    mean = sum(scores) / n
    
    variance = 0
    for score in scores:
        variance += (score - mean)** 2
    variance /= n
    
    print(math.sqrt(variance))