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normalstats.py
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normalstats.py
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#!/usr/local/bin/python3
#############################################################################################
# Program by Mohammed Faisal Khan #
# Email: faisalkhan91@outlook.com #
# Date: 8/9/2019 #
#############################################################################################
# Importing system module
import random
import math
def mean(numbers):
sum = 0
for i in range(0, len(numbers)):
sum += numbers[i]
return sum / len(numbers)
def stddev(numbers, mean, num):
sum = 0
for i in range(0, num):
sum += (numbers[i] - mean) ** 2
return math.sqrt(sum / num)
def median(numbers):
numbers.sort()
return numbers[len(numbers) // 2]
def mode(numbers):
modval = 0
modcount = 0
index = 0
while index < len(numbers):
c = numbers.count(numbers[index])
if c > modcount:
modcount = c
modval = numbers[index]
index += c
return modval
def getsample(numbers, num):
for i in range(0, num):
sample = random.normalvariate(75, 50)
numbers.append(int(sample))
random.seed()
for n in [100, 1000, 10000, 100000, 1000000]:
samples = []
getsample(samples, n)
avg = mean(samples)
std = stddev(samples, avg, n)
med = median(samples)
mod = mode(samples)
print("N =", n, "Avg =", avg, "Std =", std, "Median =", med, "Mode =", mod)
#############################################################################################
# End of Program #
# Copyright 2019 #
#############################################################################################