The binomial distribution is a probability distribution that describes the likelihood of a given number of successes in a fixed number of trials. For example, in the case of flipping fair coins, the binomial distribution can be used to calculate the probability of getting a certain number of heads in a certain number of coin

Binomial Distribution

 The normal distribution is a probability distribution that is used to describe many natural phenomena. It is also known as the Gaussian distribution, after the mathematician Carl Friedrich Gauss who first described it. The normal distribution is one of the most commonly used distributions in statistics.Properties of Normal Distribution:The normal distribution is a continuous probability

Normal (Gaussian) Distribution

Several probability distributions are used in statistics. These include the three most commonly used distributions: the Normal Distribution, the Binomial Distribution, and the Poisson Distribution.Three Most Commonly Used Distributions:1. Normal Distribution: The normal distribution is a continuous probability distribution that is symmetrical around the mean. It is often used to model normally distributed data, such

List of Common Probability Distributions

In probability and statistics, several terms are used to describe the various functions that are used to model probability distributions. These include:Probability density function (PDF):The PDF is a function that describes the probability of a continuous random variable taking on a certain value. It is a mathematical function that describes the probability that a random

PDF, CDF and PMF – Probability Distribution Functions

 The central limit theorem is a fundamental concept in statistics. It states that given a sufficiently large sample size from a population with a finite level of variance, the mean of all samples from the population will be approximately normally distributed. This means that if we take many samples from a population and compute the

Central Limit Theorem

PopulationA population is the entire group of individuals or objects that we are interested in studying. For example, the population could be all the people living in a certain city, all the students in a school, or all the cars on a certain road.SampleA sample is a subset of a population. It is a smaller

Sample vs. Population