Probability and Statistics

Addition and Multiplication Theorems of Probability

Introduction Consider the following scenario: You participate in a dice game with your friends. You create an exhaustive list of all the potential outcomes in the sample space. When one of your friends rolls the dice, he does not reveal the outcome to you. Rather than that, he states that when the two numbers are […]

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A Short Note on Poisson Probability Distribution

The Poisson distribution is a discrete probability characteristic meaning the variable can best take unique values in a given listing of numbers, probably infinite. Poisson distribution measures how usually an event is possible to occur within the “x” time frame. A Poisson random variable “x” defines the number of successes within the test. This distribution

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A General Study on Addition Theorem

The addition rule for non-mutually exclusive events is applicable when two outcomes are possible and the occurrence of one does not preclude the occurrence of the other.  This scenario differs from the one depicted in the preceding section due to the probability of overlap, P(A and B), which is supplied. Since the addition rule is

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A Complete Guide on Probability Distribution

Assume you take a random sample of people and measure their heights. You generate a distribution of heights by measuring heights. When you need to know which outcomes are most likely, the spread of potential values and the chance of distinct outcomes, this form of distribution comes in handy. Discrete Distributions Types You may model

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A Complete Guide on Multiplication Theorem

The degree of an event’s likelihood is referred to as its probability. There must be some probability attached to an event as it happens, such as when a ball is thrown, a card is drawn, etc. Probability in mathematics is defined as the proportion of desired outcomes to all potential outcomes. Given that the first

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Addition Rules of Probability

Introduction The Addition rules of probability determine the possibility of two simultaneous occurrences. Probability is a field of mathematics that measures the certainty or uncertainty of an event or series of occurrences. The Addition rules of probability specify two formulae, one for the likelihood of either of two mutually exclusive events occurring and the other

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A Brief Note on Dependent Events Definition

An event that is dependent on preceding events is called a dependent occurrence. The outcomes of prior events have an impact on these occurrences. Two or more interdependent occurrences are defined as dependent events. If one occurrence is changed by chance, the chances are that another will be changed as well. Dependent Events Probability theory

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An Overview on the Probability Tree

 A probability tree diagram is a visual depiction of the probabilities and outcomes of an event. There are two pieces to a probability tree diagram: nodes and branches. An event is represented by a node. The term “branch” refers to the link between an occurrence and its result. A probability tree diagram can be used

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Axiomatic Approach to Probability

When we hear the word “probability,” we often think of abstract ideas that are connected to chance or unpredictability. The idea of probability is difficult to explain in a formal sense; however, the intuition that comes the closest to capturing its essence is that it allows us to evaluate the likelihood or chances that a

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Class 12, Conditional probability, IIT JEE, Maths, Probability and Statistics