Introduction to Probability

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Introduction to Probability

Probability is defined as
šŸ’”
A value between 0 and 1 that quantifies the likelihood of an event occurring
  • A probability of 0 means the event is impossible.
  • A probability of 1 means the event is certain.
Ā 
Mathematically, if is an event within a sample space , the probability of , denoted , is expressed as:
For example, if a standard six-sided die is rolled, the probability of rolling a 4 is:

Interpretations of Probability

The concept of probability can be interpreted in different ways depending on the context:
  1. Frequentist Interpretation: Probability is understood as the long-run relative frequency of an event occurring in repeated independent trials. For instance, if we flip a fair coin many times, we expect the proportion of heads to converge to 0.5.
  1. Bayesian Interpretation: Probability represents a degree of belief or certainty about an event, which can be updated as new information becomes available. For example, a weather forecast might say thereā€™s a 70% chance of rain tomorrow, reflecting the meteorologist's confidence based on current data.

Example

In a deck of 52 playing cards, the probability of drawing an Ace is: