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

Permutations and combinations are two related concepts in mathematics that involve arranging elements or numbers. Permutations are arrangements where the order of the elements matters, while combinations are arrangements where the order does not matter.These concepts are used in various fields, such as probability and statistics, computer science, finance, and more. Understanding the basics of

Permutations and Combination

 Factorial value is a mathematical concept often used in various fields, including statistics, probability theory, and combinatorics. The factorial of a non-negative integer n, denoted by n!, is the product of all positive integers up to and including n. Factorials are denoted by an exclamation mark (!) after a number. For example, the factorial of 4

What is a Factorial?

The rule of addition and the rule of multiplication are two important rules of probability that describe how probabilities are calculated for multiple events.Rule of AdditionThe rule of addition (also known as the “OR” rule) states that the probability of two or more mutually exclusive events occurring is the sum of the probabilities of the

Probability: Rule of Addition and Multiplication

n probability, there are several different types of events that can be defined based on their relationship to other events.Simple Events:Simple events are the most basic type of event in probability. A simple event is an outcome or occurrence that has a single result. Examples of simple events include rolling a die and getting a

Probability: Types of Events