An introduction to measuring uncertainty through the mathematical lens of probability.

Defining probability as a scale between impossibility and certainty.

Calculating probability when all outcomes are equally likely, such as in games of chance.

Using historical data and past occurrences to predict future events.

Assigning probability based on intuition, experience, and expert judgment.

Understanding the combination of sets through the union operation.

Finding common ground between events through intersection logic.

The formula for calculating the probability of one event or another occurring.

Calculating probability based on existing knowledge or prior events.

Finding the joint probability of two events occurring together.

Updating your initial beliefs when new evidence comes to light.

A quick review of the core methods and laws covered in the lecture.

Closing thoughts on the power of probability in navigating uncertainty.