This course provides a practical foundation in inferential statistics to enhance process understanding and data-driven decision-making. Participants will learn to interpret probability distributions, calculate probabilities for key distributions, and create probability plots to validate analytical assumptions. By the end of the course, learners will also understand the Central Limit Theorem and its crucial role in statistical inference for real-world applications.