Let’s say we are given n numbers [x1, x2, x3, ... xn]. The mean of those n numbers is given by the formula: $latex \frac{\sum_{i=1}^{n}x_{i}}{n} $ Now, if we sort the numbers, then the number in the middle is the median of the numbers. If n is even and there are two...

We can plot Gaussian distribution easily using Python. In this article, we will discuss how to plot normal distribution using matplotlib module in Python. To plot the normal distribution, we will first generate evenly spaced numbers within a specific range. The...

In Python, we can use the randn() function to generate random numbers from the normal distribution. We need to import the corresponding module in the following way: from numpy.random import randn After importing the numpy.random module, we can use the randn() function...

In Python, we can use the randint module to generate a random integer. Please note that the random integer thus generated is a pseudo-random number and not a truly random number (What is the difference between a true random number and a pseudo-random number?). A...

In Python, we can use the random module to generate a random floating point number in the range of [0.0, 1.0). Please note that the number thus generated is a pseudo-random number and not a true random number (What is the difference between a true random number and a...