Probability
Probability is a branch of mathematics that deals with the study of uncertainty and the likelihood of events occurring
Probability is a branch of mathematics that deals with the study of uncertainty and the likelihood of events occurring. It is used to determine the likelihood of a particular outcome or event happening in a given situation. In simple terms, it helps us understand how likely or unlikely something is to happen.
Probability is represented by a number between 0 and 1, where 0 represents an event that is impossible to occur, and 1 represents an event that is certain to occur. The probability of an event ranges between these two extremes.
The fundamental concept in probability is the probability of an event occurring, denoted as P(A), where “A” represents the event. There are three methods to calculate the probability, namely:
1. Classical Probability: It applies to situations where all the outcomes are equally likely. The classical probability of an event A occurring is calculated by dividing the number of favorable outcomes by the total number of possible outcomes.
2. Relative Frequency Probability: It applies to situations where past data or experiments can be used to determine the probability of future events. The relative frequency probability of an event A occurring is calculated by dividing the number of times event A has occurred by the total number of trials or observations.
3. Subjective Probability: It applies to situations where probability is assigned based on subjective judgment or personal opinions. Subjective probability assigns a number between 0 and 1 based on the subjective belief of an individual.
To calculate the probability of multiple independent events occurring, you can use the multiplication rule. The multiplication rule states that the probability of two independent events A and B both occurring is equal to the product of their individual probabilities, i.e., P(A and B) = P(A) * P(B).
To calculate the probability of either of two events occurring, you can use the addition rule. The addition rule states that the probability of either event A or event B occurring is equal to the sum of their individual probabilities minus the probability of both events occurring, i.e., P(A or B) = P(A) + P(B) – P(A and B).
Probability is widely used in various fields, including statistics, finance, engineering, and machine learning, to make informed decisions and predictions about uncertain events. It helps us analyze and understand the likelihood of different outcomes, enabling us to make better decisions based on data and evidence.
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