The document introduces basic probability concepts like objective and subjective probabilities. It provides examples to illustrate mutually exclusive, collectively exhaustive events and independent vs dependent events. The key formulas for probability of single, joint and conditional probabilities are defined. It also discusses Bayes' theorem and how it can be used to update probabilities based on new information. An example is provided to show how probabilities are revised after obtaining additional data points.