numpy lab(19/02/2024)

# using logic
import math

def get_input():
    size = int(input("Enter length of array: "))
    num_data = []
    for i in range(size):
        number = int(input("Enter element {}: ".format(i+1)))
        num_data.append(number)
    return num_data

def mean(data):
    return sum(data) / len(data)

def variance(data):
    mu = mean(data)
    return sum((x - mu) ** 2 for x in data) / len(data)

def std_deviation(data):
    return math.sqrt(variance(data))

data = get_input()
print("Mean:", mean(data))
print("Variance:", variance(data))
print("Standard Deviation:", std_deviation(data))

#using library
import numpy as np

def get_input():
    size = int(input("Enter length of array: "))
    num_data = []
    for i in range(size):
        number = int(input("Enter element {}: ".format(i+1)))
        num_data.append(number)
    return num_data

def mean(data):
    return np.mean(data)

def variance(data):
    return np.var(data)

def std_deviation(data):
    return np.std(data)

data = get_input()
print("Mean:", mean(data))
print("Variance:", variance(data))
print("Standard Deviation:", std_deviation(data))

#Output
Enter length of array: 12
Enter element 1: 103
Enter element 2: 85
Enter element 3: 117
Enter element 4: 98
Enter element 5: 203
Enter element 6: 119
Enter element 7: 48
Enter element 8: 65
Enter element 9: 86
Enter element 10: 110
Enter element 11: 180
Enter element 12: 156
Mean: 114.16666666666667
Variance: 1904.138888888889
Standard Deviation: 43.63643991996699