def standarddeviation(val1, val2, val3, val4, val5, val6, val7, val8, val9, val10):
try:
standarddeviation_values = [val1, val2, val3, val4, val5, val6, val7, val8, val9, val10]
standarddeviation_float = [float(i) for i in standarddeviation_values]
return sqrt(variance(*standarddeviation_float))
except TypeError:
print("std dev is a Number . Cannot Input Text")
def samplestddev(num):
try:
variance_float = variance(num)
return round(root(variance_float), 5)
except ZeroDivisionError:
print("Can't Divide by 0 Error")
except ValueError:
print("Please Check your data inputs")
def samplestddev(num):
try:
variance_float = variance(num)
return round(squarerooting(variance_float), 5)
except ZeroDivisionError:
print("Error: Can't Divide by 0")
except ValueError:
print("Error: Check your data inputs")
def stddev(a):
try:
a_variance = variance(a)
return round(squarerooting(a_variance), 5)
except ZeroDivisionError:
print("Error: Can't Divide by 0")
except ValueError:
print("Error: Check your data inputs")
def sample_stddev(num):
try:
variance_float = variance(num)
return round(square_root(variance_float), 5)
except ZeroDivisionError:
print("Error: Insert a number greater than 0")
except ValueError:
print("Error: Please enter correct data type")
def stddev(num):
try:
# 1. Goes into Variance() to get the the mean and the variance
variance_float = variance(num)
# 2. Gets sqrt to get the standard Deviation
x = round(square_root(variance_float), 5)
return int(x)
except ZeroDivisionError:
print("Error - Cannot divide by 0")
except ValueError:
print("Error - Invalid data inputs")
def standard_deviation(data):
if is_valid(data):
var = variance(data)
return get_square_root(var)
else:
raise TypeError("Data contains non-numeric values")
def stdDev( nums):
return math.sqrt(variance(nums))
def stdev(data):
return pow(variance(data), 0.5)
def stddev(nums):
var = variance(nums)
return squareroot(var)
def variance(self, val1, val2, val3, val4, val5, val6, val7, val8, val9, val10):
self.result = variance(val1, val2, val3, val4, val5, val6, val7, val8, val9, val10)
return self.result
def pvariance(self, a, b, c, d, e, f, g, h):
self.result = variance(a, b, c, d, e, f, g, h)
return self.result
def variance(self, nums):
self.data = variance(nums)
return self.data
def standard_deviation(data):
# Validations
empty_list_check(data)
check_for_valid_numbers(data)
return square_root(variance(data))
def stddev(num):
variance_num = variance(num)
return round(squarerooting(variance_num), 4)
def stddev(data):
var = variance(data)
squareroot = sqr(var)
return squareroot
def stddev(data):
data = check(data)
var = variance(data)
squareroot = sqr(var)
return squareroot
def variance(self, data):
self.result = variance(data)
return self.result
def standard_deviation(data):
var1 = variance(data)
stud_dev = math.sqrt(var1)
return stud_dev
def population_variance(self, a):
self.result = variance(a)
return self.result
def variance(self):
self.result = variance(self.data)
return self.result
def variance(self, data):
validate(data)
self.result = variance(data)
return self.result
def sd(num):
try:
variance_float = variance(num)
return round(squareroot(variance_float), 2)
except ZeroDivisionError:
print("Watch out: You're dividing by Zero!")
