def margin_of_error (data, confidence_Zscore):
try:
size = len(data)
std = standard_deviation(data)
z = confidence_Zscore
moe = multiplication(z, division(std, squareRoot(size)))
return round(moe, 5)
except ValueError:
print("ERROR: That is an emtpy array! Try again.")
def confidenceIntervalTop(data, confidence_level):
try:
values = len(data)
std = standard_deviation(data)
avg = mean(data)
rounded_interval = stats.norm.interval(
confidence_level, avg, division(std, squareRoot(values)))
intervalBottom = round(rounded_interval[1], 5)
return intervalBottom
except ValueError:
print("ERROR: That is an emtpy array! Try again.")
def z_score(data):
try:
zscore_list = []
for x in data:
zmean = mean(data)
standard_dev = standard_deviation(data)
diff = subtraction(x, zmean)
z = division(diff, standard_dev)
roundedz = round(z, 5)
zscore_list.append(roundedz)
return zscore_list
except ValueError:
print("ERROR: That is an emtpy array! Try again.")
def std_dev(self, data):
self.result = standard_deviation(data)
return self.result