Summary
Full Transcript
Welcome to Week 7 Lecture 2 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 introduces the concept of conditional probability and explains its importance in understanding how the likelihood of an event changes when partial information is known. Using the example of rolling a die twice, we learn how to calculate conditional probabilities by restricting the sample space and applying the conditional probability formula. The lecture also introduces Venn Diagrams to visually explain how conditional probability works, providing an intuitive understanding of this fundamental concept in probability and statistics. 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 #Math #DataScience #DieRoll #Experiment #SampleSpace #Events #VennDiagrams #Likelihood #Information #PartialInformation #ProbabilityFormula #QuantitativeMethods #StatisticalLearning #DataScienceEducation
Continue this lesson in the app
Install CourseHive on Android or iOS to keep learning while you move.
