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
    s = list(map(int,input().split()))
    m = sum(s)/float(n)
    print("{0:.8f}".format(math.sqrt(sum([(x-m)**2 for x in s])/n)))

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

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):
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):
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):
while 1:
    N = int(input())
    if not N:
        break
    *A, = map(int, input().split())
    V = sum(A)/N
    print((sum((a - V)**2 for a in A)/N)**0.5)

Solution (Python):
while True:
    n = int(input())
 
    if n == 0:
        break
 
    a = list(map(int, input().split()))
    m = sum(a) / n
    func = (lambda x: (x - m) ** 2)
    print((sum(map(func, a)) / n) ** .5)

Solution (Python):
import math
while True:
    n = int(input())
    if n == 0:
        exit()
    s = list(map(int, input().split()))
    ave = float(sum(s) / n)
    r = 0
    for j in range(n):
        r += float(pow(s[j] - ave, 2))
    print(math.sqrt(r / n))

Solution (Python):
import math
while True:
  if input() == '0':
    break
  a=list(map(int,input().split()))
  m=sum(a)/len(a)
  b=0
  for i in a:
    b += (i-m)**2.0
  stddev = math.sqrt(b/len(a))
  print(stddev)

Solution (Python):
import math

def calculate_variance(data):
  s_avg = sum(data) / len(data)
  sum_tmp=0
  for i in range(len(data)):
    sum_tmp += (s_avg-data[i])**2
  return math.sqrt(sum_tmp/len(data))

while True:
  input_sn=int(input())
  if input_sn == 0:
    break
  else:
    students = list(map(int,input().split()))
    s_variance = calculate_variance(students)
    print(s_variance)

Solution (Python):
while True:
	N = int(input())
	if N == 0:
		break
	S = list(map(float, input().split()))

	avg = sum(S) / N
	bunsan = 0
	for s in S:
		bunsan += (s - avg)** 2
	bunsan /= N
	print(bunsan ** 0.5)

Solution (Python):
import math
N = 0
arr = []
while True:
    N = int(input())
    if N==0:
        break
    arr = list(map(float,input().split()))
    m = 0
    for i in range(len(arr)):
        m += arr[i]
    m /= N
    
    a2 = 0
    for i in range(len(arr)):
        a2 += (arr[i]-m)**2
    a2 = a2/N
    a = math.sqrt(a2)
    print("%.4f"%a)

Solution (Python):
def calc_variance(size, nums):
    average = sum(nums) / size
    variance = sum([(x - average) ** 2 for x in nums]) / size
    return variance

while True:
    n = int(input())
    if n == 0:
        break
    scores = list(map(int, input().split()))
    standard_deviation = calc_variance(n, scores) ** 0.5
    print(standard_deviation)

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;
  s = list(map(int, input().split()))
  ave = sum(s)/n
  dif = 0
  for i in range(n):
    dif = dif + (ave - s[i])*(ave - s[i])
  sd = math.sqrt(dif/n)
  print(round(sd, 8))

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

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

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

    mean = sum(scores) / n

    print((sum([(score-mean) ** 2 for score in scores]) / n) ** 0.5)

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

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)
    if n == 0:
      break

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
  s = list(map(int,input().split()))
  
  a2 = 0
  avg = sum(s) / len(s)
  for i in s:
    a2 += (i-avg)**2
  a = math.sqrt(a2/n)
  
  print(a)

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) ** 0.5)

Solution (Python):
import math as mp
ans = []
while True:
    n = int(input())
    if n==0:
        break
    s = list(map(int,input().split()))
    m = sum(s)/len(s)
    ans.append( mp.sqrt(sum([(ele-m)**2 for ele in s])/len(s)) )
for ele in ans:
    print(ele)

Solution (Python):
import math

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

    
    sum = 0
    for i in s:
        sum += i
    m = sum / n

    
    a = 0
    for i in s:
        a += (i - m) ** 2
    a /= n

    print(math.sqrt(a))

Solution (Python):
import math

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

    ss  = list(map(int, input().split()))
    ave = sum(ss[:]) / n

    sig = 0
    for s in ss:
        sig += (s - ave)**2
    sig = math.sqrt(sig/n)

    print(sig)

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("{:5f}".format(a))

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

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

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

Solution (Python):
kai = []
while True :
  n = int(input())
  if n == 0 :
    break
  s = list(map(int,input().split()))

  m = sum(s)/(len(s))
  
  
  a = [(i-m ) for i in s]
 
  a0 = [r**2 for r in a]
  
  a1 = sum(a0)
  
  a2 = (a1/(len(s)))**(1/2)
  kai.append(a2)
  
  
for k in kai :
  print(k)

Solution (Python):
i=0
sigma=[]
while True:
    N=int(input())
    goukei=0
    if N==0:
        break
    else:
        sample=list(map(int,input().split()))
        for j in range(len(sample)):
            heikin=sum(sample)/len(sample)
            goukei+=(sample[j]-heikin)**2
        sigma.append((goukei/len(sample))**0.5)
        i+=1
for k in range(i):
    print(sigma[k])

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

Solution (Python):
import math


if __name__ == "__main__":
    while True:
        dataset_num = int(input())
        if dataset_num == 0:
            break
        dataset = list(map(lambda x: float(x), input().split()))
        mean = sum(dataset) / dataset_num
        variance = sum(map(lambda x: (x - mean) ** 2, dataset)) / dataset_num
        print(f"{math.sqrt(variance)}")

Solution (Python):
while True:
    n = int(raw_input())
    if n==0: break
    l = map(float, raw_input().split())
    avg=sum(l)/len(l)
    naka=0
    for i in l:
        naka+=(i-avg)**2
    hyo2 = naka/n
    print (hyo2)**0.5

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

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

Solution (Python):






import sys
import math


class mymath:
    
    pi = 3.14159265358979323846264338

    
    def pnum_eratosthenes(self, n):
        ptable = [0 for i in range(n+1)]
        plist = []

        for i in range(2, n+1):
            if ptable[i]==0:
                plist.append(i)
                for j in range(i+i, n+1, i):
                    ptable[j] = 1
        return plist

    
    def gcd(self, a, b):
        if b == 0:
            return a
        return self.gcd(b, a%b)

    
    def lcm(self, a, b):
        return (a*b)//self.gcd(a,b)

    
    def mul(self, A, B):
        ans = []
        for a in A:
            c = 0
            for j, row in enumerate(a):
                c += row*B[j]
            ans.append(c)
        return ans

mymath = mymath()


class output:
    
    def list(self, l):
        l = list(l)
        
        for i, num in enumerate(l):
            print(num, end="")
            if i != len(l)-1:
                print(" ", end="")
        print()

output = output()






















def get_input():
    N = []
    while True:
        try:
            N.append(input())
        except EOFError:
            break
    return N

def main():

    while True:
        N = int(input())
        if N == 0:
            break
        data = [int(x) for x in input().split()]

        m = sum(data) / N
    
        t = 0
        for i in data:
            t += (i-m)**2

        print(math.sqrt(t/N))



if __name__ == '__main__':
    main()

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("{:5f}".format(a))

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):


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

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

    a_2 = sum([(x - m) ** 2 for x in s]) / n
    print(a_2 ** 0.5)

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

Solution (Python):
import math


while True:
	n= int(input())
	if n==0:
		break
	data=list(map(float,input().split()))
	ave=sum(data)/n
	data2=list(map(lambda x:(x-ave)**2, data))
	print((sum(data2)/n)**0.5)

Solution (Python):
a = []
while True:
    n = int(input())
    if n == 0:
        break
    else:
        goukei = 0
        v = 0
        s = list(map(int, input().split()))
        for i in range(len(s)):
            goukei = goukei + s[i] 
        ave = goukei / n           
        for i in range(len(s)):
            v = v + pow(s[i]-ave,2)/n  
        a.append(pow(v,1/2))  

for i in a:
    print(i)

Solution (Python):
import math
while True:
  n=int(input())
  if n==0:
    break
  s=list(map(int,input().split()))
  m=sum(s)/len(s)
  bunsan2=0
  for i in range(n):
    bunsan2+=(s[i]-m)**2
  bunsan=bunsan2/n
  hensa=math.sqrt(bunsan)
  print(f"{hensa:.8f}")

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

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

Solution (Python):
while True:
    n = int(input())
    if not n:
        break
    ss = list(map(int, input().split()))
    m = sum(ss) / n
    a2 = sum([(s - m) ** 2 / n for s in ss])
    print(a2 ** 0.5)

Solution (Python):
import statistics
while True:
    n = input()
    if n=='0':
        break
    l = map(float, input().split())
    print(statistics.pstdev(l))

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

Solution (Python):
while True:
    n = int(input())
    if n == 0:
        break
    data = list(map(int,input().split()))
    average = sum(data) / len(data)
    s = 0
    for i in data:
        s += (i - average) ** 2
    bunsan = s / len(data)
    print(bunsan ** 0.5)

Solution (Python):
import math
while True:
    n=int(input())
    if n==0:
        break
    else:
        S=input().split( )
        
        sum=0
        for i in range(n):
            sum = sum+int(S[i])
        ave= sum/n
        val_sum=0
        for i in range(n):
            val_sum = val_sum+(int(S[i])-ave)**2
        val = val_sum/n
        devi= math.sqrt(val)
        print(devi)

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):
import math

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

  m=sum(d)
  bar=m/n
  k=0
  for i in d:
    k+=(i-bar)**2/n
    sig=math.sqrt(k)
  print('{:.8f}'.format(sig))

Solution (Python):
import statistics


while True:
    
    n = int(input())

    if n == 0:
        break

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

    print(statistics.pstdev(list_s))

Solution (Python):
from math import sqrt

def calc_stdev(l):
    res = 0
    mean = sum(l) / len(l)
    for i in l:
        res += (i - mean) ** 2
    
    return sqrt(res / n)

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

    print(calc_stdev(s))

Solution (Python):
from math import sqrt
while True:
    n = int(input())
    if not n:
        break
    scores = list(map(int, input().split()))
    avg = sum(scores) / n
    print(sqrt(sum((scores[i] - avg) ** 2 for i in range(n)) / n))

Solution (Python):
import math
while True:
    N = int(input())
    if(N == 0): break
    lst = list(map(int, input().split()))
    av  = sum(lst) / N
    ti = 0
    for i in lst:
        ti += ((i - av)**2)/N
    d = math.sqrt(ti)
    print(d)

Solution (Python):

import math
while True:
    n = int(input())
    if n == 0:
        break
    l = list(map(int, input().split()))
    s = 0
    M = sum(l) / len(l)
    for data in l:
        s += ((data - M)** 2)
    print((s / len(l)) ** 0.5)

Solution (Python):
import math
while True:
    st_num = int(input())
    if st_num == 0:
        break
    st_score = [0]*st_num
    st_score = list(map(int,input().split()))
    st_mean=0
    for i in range(st_num):
        st_mean += st_score[i]
    st_mean /= st_num
    st_variance = 0
    for i in range(st_num):
        st_variance += (st_score[i]-st_mean)**2
    st_variance /= st_num
    standard_devi = math.sqrt(st_variance)
    print("%f"%(standard_devi))

Solution (Python):
import math
def stddd(alist) :

    adv = sum(alist) / len(alist)
    std = 0.0
    for dd in alist:
        std = std + (dd - adv)**2.0

    std = std/len(alist)
    return math.sqrt(std)


dlist = []
while True:
    n_data = int(input())
    if n_data == 0:
        [print(dd) for dd in dlist]
        break
    dataarr =  map (float, input().split())
    alist = []
    [alist.append(dd) for dd in dataarr]
    dlist.append(stddd(alist))

Solution (Python):


import statistics

while 1:
    n = int(input())
    if n == 0 :
        break
    data = map(int, input().split())
    """
    statistics.m = mean(data)
    statistics.median = median(data)
    statistics.variance = variance(data)
    """
    std = float(statistics.pstdev(data))
    
    print(std)

Solution (Python):
import statistics
while True:
    num = int(input())
    if num == 0:
        break
    else:
        students = list(map(int,input().split()))
        result = statistics.pstdev(students)
        print(result)

Solution (Python):
n = int(input())
while n != 0:
    from math import sqrt
    s = [int(c) for c in input().split()]
    ave = sum(s) / len(s)
    stddev = sqrt(sum([(p - ave)**2 for p in s]) / len(s))
    print(stddev)
    n = int(input())

Solution (Python):
import math
while True:
    num = int(input())
    if num == 0:
        break
    line = list(map(int, input().split()))
    average = sum(line)/num
    a = 0
    for i in line:
        a = a + (i - average)**2
    print(math.sqrt(a/num))

Solution (Python):
if __name__ == '__main__':
	n = int(input())
	while n != 0:
		s = [int(s) for s in input().split()]
		m = 0
		for i in s:
			m += i
		m = m/n
		tmp = 0 
		for i in s:
			tmp += (i - m)**2
		print("%.10f" % ((tmp/n)**0.5))
		n = int(input())

Solution (Python):
import math
result = []

while True:
  n = int(input())
  
  if n == 0:
    break
  
  s = list(int(x) for x in input().split())
  a2 = 0
  m = sum(s) / len(s)
  for x in s:
    a2 += (x - m) ** 2 / n
  result.append(math.sqrt(a2))

for x in result:
  print(x)

Solution (Python):
def calculate_mean(data):
        s = sum(data)
        n = len(data)
        mean = s/n
        return mean

def find_difference(data):
    mean = calculate_mean(data)
    diff = []

    for num in data:
        diff.append(num - mean)
    return diff

def calculate_variance(data):
    diff = find_difference(data)
    
    squared_diff = []
    for d in diff:
        squared_diff.append(d ** 2)

    
    sum_squared_diff = sum(squared_diff)
    variance = sum_squared_diff / len(data)
    return variance
    
while True:
    num = int(input())
    if num == 0:
        break
    
    if __name__ == '__main__':
        data = [int(i) for i in input().split()]
        variance = calculate_variance(data)
        std = variance**0.5
        print(std)

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

    if(n == 0): break
    
    s = [int(x) for x in input().split(" ")]
    
    m = sum(s)/n
    
    d = 0
    for i in range(n):
        d +=(s[i] - m)**2

    S = d/n
    a = S**0.5
    
    print("{:.9}".format(a))

Solution (Python):
import math

while 1:
    lis = []
    st = []
    num = int(input())
    if num == 0:
        break
    else:
        lis = list(map(int, input().split()))
        m = sum(lis) / len(lis)
        for v in lis:
            st.append((v - m)**2)
        print(math.sqrt(sum(st)/num))

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

Solution (Python):

def calculate_mean(num,data):

	mean = sum(data) / num
	

	return mean

def find_difference(num,data):

	
	mean = calculate_mean(num,data)
	diff = []
	for num1 in data:
		diff.append(num1-mean)
	return diff

def calculate_variance(num,data):
	
	diff = find_difference(num,data)

	
	squared_diff = []

	for d in diff:
		squared_diff.append(d**2)

	
	sum_squared_diff = sum(squared_diff)
	variance = sum_squared_diff/num

	return variance

if __name__ == '__main__':

	while True:
		num = int(input())

		if num == 0:
			break
		data_s = input().split(" ")
		data = [int(i) for i in data_s]

		
		variance = calculate_variance(num,data)

		
		std = variance**0.5
		print('{:.5f}'.format(std))

Solution (Python):
import statistics

while int(input()):
    data = list(map(float, input().split()))
    print(statistics.pstdev(data))

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

Solution (Python):
from statistics import *
while int(input()):
    print(pstdev(map(int,input().split())))

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

    if x == 0:
        break

    y = input()
    list = y.split()
    list_i = [int(s) for s in list]

    list2 = []
    ave = sum(list_i) / len(list_i)

    for a in range(0, x):
        b = list_i[a] - ave
        b2 = b ** 2
        list2.append(b2)

    ave2 = sum(list2) / len(list2)
    ans = ave2 ** 0.5
    print(ans)

Solution (Python):
import math

while True:
  n = int(input())

  if n == 0: break

  data = input().split()

  average = 0.0

  for i in data:
    average += int(i)

  average /= n 

  s_th_power = 0.0

  for i in data:
    s_th_power += (int(i)-average) * (int(i)-average)

  s_th_power /= n

  s = 0.0

  s = math.sqrt(s_th_power)

  print("%.8f"%s)

Solution (Python):
import math
n = int(input())
while n:
    nums = list(map(float, input().split()))
    m = sum(nums) / n
    a2 = 0.0
    for i in nums:
        a2 += (i - m)**2
    a = math.sqrt(a2/n)
    print(a)
    n = int(input())

Solution (Python):
while True:
    n = int(input())
    if n == 0:
        break
    
    s = input().strip().split()
    s = [float(i) for i in s]
    Sum = sum(s)
    m = Sum/n
    aa = 0
    
    for i in range(n):
        aa += (s[i]-m)**2
    arfa = (aa/n)**0.5
    
    print(arfa)

Solution (Python):
import math
while True:
    sv = 0
    N = int(input())
    if N == 0:
        break
    data = list(map(int, input().split()))

    av = sum(data)/N

    for i in range(N):
        sv += (data[i]-av)**2

    print('{0:6f}'.format(math.sqrt(sv/N)))

Solution (Python):
import math

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

s = []
c = 0

while True:
    ss = 0
    n = int(input())
    if n == 0:
        break
    else:
        score = list(map(int, input().split()))
        ave = sum(score) / n

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

        s.append(math.sqrt(ss / n))
    c += 1

for i in range(c):
    print(s[i])

Solution (Python):
import math

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

    sum = 0
    for score in scores:
        sum += score

    m = sum / n 

    s1 = 0
    for score in scores:
        s1 += (score - m)**2

    dispersion = s1 / n 
    deviation = math.sqrt(dispersion)

    print(deviation)

Solution (Python):
import math
while True:
    n = int(input())
    if n == 0:
        break
    else:
        datas = list(map(int, input().split()))
        total = sum(datas)
        avg = total / n
        total2 = 0
        for data in datas:
            total2 += (data - avg) ** 2
        print(math.sqrt(total2 / n))

Solution (Python):
import math

while True:
    N = int(input())
    if N==0:
        break
    
    lst = [int(x) for x in input().split()]

    avr = sum(lst)/N

    cal = 0
    for x in lst:
        cal += (x-avr)**2
    print(math.sqrt(cal/N))

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

Solution (Python):
while int(input()) != 0:
    a = [int(i) for i in input().split()]
    a = list(map(lambda x: (x-(sum(a)/len(a)))**2, a))
    print((sum(a)/len(a))**.5)

Solution (Python):
while True:
    n = int(input())
    if n == 0:
        break
    
    score = list(map(int, input().split()))
    m = sum(score) / len(score)
    
    ls = [  (score[i] - m)**2 / n for i in range(n)]
    aa = sum(ls)
    print(pow(aa, 1/2))

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

Solution (Python):
import math
while 1:
    num = int(input())
    if num == 0:
        break
    a = [int(_) for _ in input().split()]
    ave = 0
    dev = 0
    for i in range(num):
        ave += a[i]
    else:
        ave /= num
    for i in range(num):
        dev +=math.pow(a[i]-ave,2)
    else:
        dev = math.sqrt(dev/num)
    print(dev)

Solution (Python):
while True:
  n = int(input())
  if n == 0:
    break
  pts = list(map(int, input().split()))
  s = 0
  m = sum(pts) / len(pts)
  for pt in pts:
    s += (pt - m) ** 2
  print((s / len(pts)) ** 0.5)

Solution (Python):
from statistics import pstdev

while True:
    if input() == "0":
        break
    
    print(pstdev([int(i) for i in input().split()]))

Solution (Python):
import math

while True:
  n = int(input())
  if n == 0:
    break
  st = list(map(int,input().split()))
  ave = float(sum(st)) / float(n)
  for i in range(len(st)):
    st[i] = (st[i]-ave)**2
  sigma = math.sqrt(sum(st)/float(n))
  print("{:.6f}".format(sigma))

Solution (Python):
while input()!='0':
    n_std=float(0)
    n_l=list(map(int,input().split()))
    n_av=sum(n_l)/len(n_l)
    for i in n_l:
        n_std+=(i-n_av)**2
    n_std=(n_std/len(n_l))**0.5
    print(f'{n_std:.6f}')

Solution (Python):
SDResult = []
index = 0
dataSetNum = 0
while True:
    dataNum = int(input())
    if dataNum == 0:
        break
    else:
        dataSetNum += 1
        dataSet = [int(i) for i in input().split()]
        dataSetAvg = sum(dataSet)/len(dataSet)
        SDPow2 = 0
        for index in range(len(dataSet)):
            SDPow2 += ((dataSet[index] - dataSetAvg)**2) / dataNum
        SD = SDPow2 ** (1/2)
        SDResult.append(SD)

for index in range(dataSetNum):
    print(SDResult[index])

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

Solution (Python):

import math

def hensa(n,*s):
    sum = 0
    for i in range(n):
        sum += s[i]
    avg = sum/n
    sum2 = 0
    for i in range(n):
        sum2 += (s[i]-avg)**2
    return math.sqrt(sum2/n)

while True:
    n = int(input().rstrip())
    if n == 0:
        break;
    s = list(map(float, input().rstrip().split()))
    print("{0:.5f}".format(hensa(n,*s)))

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

Solution (Python):
from math import sqrt


while True:
    num = int(input())
    if num:
        nums = list(map(int, input().split()))
        avg = sum(nums)/len(nums)
        sd = sqrt(sum((n-avg)**2 for n in nums)/len(nums))
        print(round(sd, 8))

    else:
        break

Solution (Python):
import math

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

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

    m1 = 0
    m2 = 0
    for x in s:
        m1 += x
        m2 += x * x
    m1 /= n
    m2 /= n

    print("{:.5f}".format((m2 - m1 * m1) ** 0.5))

Solution (Python):
import math
while True:
    n = int(input())
    if n == 0:
        break
    s = list(map(float, input().split()))
    mu = sum(s) / n
    dev = 0
    for d in s:
        dev += (d - mu)**2
    stdev = math.sqrt(dev / n)
    print(stdev)

Solution (Python):
import statistics

while True:
        num = int(input())
        if num == 0:
                break
        data = list(map(int, input().split()))
        print("{:.5f}".format(statistics.pstdev(data)))

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

Solution (Python):
import  statistics as st

while True:
    n = input()
    if n == "0":
        break
    elif n == "1":
        _ = input()
        print(0)
    else:
        data = list(map(int, input().split()))
        print("%10f" % st.pstdev(data))

Solution (Python):
while True:
    n = int(input())
    if n == 0:
        break
    score_list = list(map(int, input().split()))
    mean = sum(score_list) / len(score_list)
    print((sum((i-mean) ** 2 for i in score_list) / n) ** 0.5)