def skew(set): set = list((1, 2, 3, 4, 5, 6, 7, 8, 9, 10)) me = mean(set) med = median(set) std = sd(set) sk = (3 * (me - med) / std) return sk
def quartiles(data): try: List2 = [] num_values = len(data) nNum = float(num_values) Q2 = median(data) nSort = sorted(data) a = .25 * nNum b = .75 * nNum for num in nSort: List2.append(num) Q1 = List2[int(a)] Q3 = List2[int(b)] bb = addition(addition(int(Q1), int(Q2)), int(Q3)) return int(Q1), int(Q2), int(Q3) except ZeroDivisionError: print("Error - Cannot divide by 0") except ValueError: print("Error - Invalid data inputs")
def median(self, data): self.result = median(data) return self.result
def median(self): self.result = median(self.data) return self.result
def median(self, Value1, Value2, Value3, Value4, Value5, Value6, Value7, Value8, Value9): self.result = median(Value1, Value2, Value3, Value4, Value5, Value6, Value7, Value8, Value9) return self.result
def median(self, a, b, c): self.result = median(a, b, c) return self.result
def median(self): self.result = median(self.median_list) return self.result
def skewness(num): mean_num = mean(num) median_num = median(num) stddev_num = stddev(num) skew = ((mean_num - median_num) * 3) / stddev_num return skew
def median(self, nums): self.data = median(nums) return self.data
def med(self, a): self.result = median(a) return self.result
def median(self, number_list): self.result = median(number_list) return self.result
def median(self, me): self.result = median(me) return self.result
def quartiles(data): secondQuartile = median(data) firstQuartile = numpy.percentile(data, 25) thirdQuartile = numpy.percentile(data, 75) return firstQuartile, secondQuartile, thirdQuartile
def stats_median(self, data): self.result = median(data) return self.result
def population_median(self, a): self.result = median(a) return self.result
def median(self, val1, val2, val3, val4, val5, val6, val7, val8, val9): self.result = median(val1, val2, val3, val4, val5, val6, val7, val8, val9) return self.result
def median(self, data): validate(data) self.result = median(data) return self.result
def median(self, data): if is_valid(data): self.result = median(data) return self.result else: raise TypeError("Data contains non-numeric values")