Probability and uncertainty are closely related because probability provides a way to quantify and reason about uncertainty. In many real-world situations, there is uncertainty about the outcomes of events, and probability provides a tool for assessing the likelihood of different outcomes.
For example, if you are trying to predict the outcome of a coin flip, there is uncertainty about whether the coin will land heads or tails. However, the probability of each outcome is known to be 1/2, which provides a way to quantify the uncertainty.
Probability also provides a way to measure the degree of uncertainty. When the probability of an event is high, there is a lower degree of uncertainty, and when the probability of an event is low, there is a higher degree of uncertainty.
However, it's important to note that probability doesn't eliminate uncertainty completely. Even if an event has a high probability of occurring, it may still not happen, and even if an event has a low probability of occurring, it may still happen. Probability simply provides a way to measure and reason about uncertainty, which is an essential tool for decision-making in many fields.
