Statistics for Data Science 1 - W7_Tutorial 5

Welcome to Week 7 Tutorial 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 In this tutorial, we apply conditional probability to a practical, real world scenario involving the lifespan of a car battery. The lecture explores the probabilities of a battery lasting beyond 10,000, 20,000, and 30,000 miles, and shows how to determine the conditional probability that it lasts longer given previous milestones. Using visual explanations and clear step by step reasoning, this session demonstrates how conditional probability helps in understanding reliability and performance prediction in engineering contexts. 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 #ConditionalProbability #Probability #Statistics #CarBattery #BatteryLife #Reliability #Math #ProbabilityTheory #DataAnalysis #Engineering #ConditionalProbabilityExamples #ProbabilityProblems #DataScienceEducation #QuantitativeMethods #StatisticalLearning