Statistics for Data Science 1 - W7_L5: Conditional Probability - independent events: examples

Welcome to Week 7 Lecture 5 of the course "Statistics for Data Science - I" by Prof. Andrew Thangaraj. Full Course: https://study.iitm.ac.in/ds/course_pages/BSMA1002.html Video Overview This lecture illustrates the concept of independent events in probability through practical examples involving dice rolls and card selections. By analyzing the probabilities of different outcomes, we learn how to verify whether two events are independent using probability formulas and logical reasoning. The lecture walks through detailed examples showing how to calculate event probabilities and interpret the results, reinforcing your understanding of how independence works in real world probability problems. About IIT Madras' online Bachelor of Science programme IIT Madras offers four-year BS programmes that aim to provide quality education to all, irrespective of age, educational background, or location. The BS programme has multiple levels, which provide flexibility to students to exit at any of these levels. Depending on the courses completed and credits earned, the learner can receive a Foundation Certificate from IITM CODE (Centre for Outreach and Digital Education), Diploma(s) from IIT Madras, or BSc/BS Degrees from IIT Madras. For more details, Visit: https://www.iitm.ac.in/academics/study-at-iitm/non-campus-bs-programmes #independentEvents #probability #statistics #diceRolls #cardGames #conditionalProbability #sampleSpace #eventProbability #math #probabilityTheory #probabilityExplained #dataScienceEducation #quantitativeMethods #statisticalLearning #probabilityConcepts