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!")