def zscore(num): z_mean = populationmean(num) sd = stddev(num) z_list = [] for x in num: z = round(((x - z_mean) / sd), 6) z_list.append(z) return z_list
def z_score(num): z_mean = populationmean(num) sd = stddev(num) zlist = [] for x in num: z = round(division(subtraction(x, z_mean), sd), 6) zlist.append(z) return zlist
def variance(num): try: pop_mean = populationmean(num) num_values = len(num) x = 0 for i in num: x = x + squaring(i - pop_mean) return round(division(x, num_values), 3) except ValueError: print("Error with data")
def confidence_interval_top(num): try: num_values = len(num) z = 1.96 sd = stddev(num) avg = populationmean(num) return round(avg + (z * sd / squarerooting(num_values)), 5) except ZeroDivisionError: print("Error: Can't Divide by 0") except ValueError: print("Error: Check your data inputs")
def confidence_interval_bottom(num): try: num_values = len(num) z = 1.96 sd = stddev(num) avg = populationmean(num) return round(avg - (z * sd / square_root(num_values)), 5) except ZeroDivisionError: print("Error:Insert a number greater than 0") except ValueError: print("Error: Enter correct data type ")
def confidence_interval_bottom(num): try: num_values = len(num) z = 1.96 sd = stddev(num) avg = populationmean(num) return round(avg - (z * sd / root(num_values)), 5) except ZeroDivisionError: print("Can't Divide by 0 Error") except ValueError: print("Please Check your data inputs")
def confidence_interval_top(num): try: num_values = len(num) z = 1.96 sd = stddev(num) avg = populationmean(num) return round(avg + (z * sd / square_root(num_values)), 5) except ZeroDivisionError: print("Error: Enter a value greater then 0") except ValueError: print("Error: insert correct datatype")
def samplevariance(num): try: pop_mean = populationmean(num) num_values = len(num) x = 0 for i in num: x = x + square(i - pop_mean) return round(division(x, num_values), 7) except ZeroDivisionError: print("Error: Enter numbers greater than 0") except ValueError: print("Error: insert correct data type")
def samplevariance(num): try: pop_mean = populationmean(num) num_values = len(num) x = 0 for i in num: x = x + squaring(i - pop_mean) return round(division(x, num_values), 7) except ZeroDivisionError: print("Error: Can't Divide by 0") except ValueError: print("Error: Check your data inputs")
def variance(num): try: pop_mean = populationmean(num) num_values = len(num) x = 0 for i in num: x = x + square(i - pop_mean) return division(x, num_values) except ZeroDivisionError: print("Can't Divide by 0 Error") except ValueError: print("Please Check your data inputs")
def variance(num): try: pop_mean = populationmean(num) num_values = len(num) x = 0 for i in num: # x = x + square(i-pop_mean) x = addition(x, square(subtraction(i, pop_mean))) return division(x, num_values) except ZeroDivisionError: print("Error: Enter number greater than 0") except ValueError: print("Error: Enter correct data type")
def confidence_low(num): values = len(num) z = 1.96 stdev1 = stddev(num) avg = populationmean(num) return (avg - (z * stdev1)) / (squarerooting(values))
def population_mean(self, data): self.result = populationmean(data) return self.result