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
