Course Hive
Search

Welcome

Sign in or create your account

Continue with Google
or
W6_Tutorial 5
Play lesson

Statistics for Data Science 1 - W6_Tutorial 5

5.0 (6)
50 learners

What you'll learn

This course includes

  • 51.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Keywords

Full Transcript

Welcome to Week 6 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 solve a probability problem involving three sets A, B, and C using Venn Diagrams. The given information includes the probabilities of set C, the union of A and B, and the union of A, B, and C. The lecture explains how to determine the probability of C intersected with the complement of the union of A and B. Through a clear step by step explanation, this session demonstrates how to visualize and solve set based probability problems using basic principles of set theory and probability. 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 #Probability #VennDiagram #SetTheory #ProbabilityCalculations #ConditionalProbability #Sets #SampleSpace #Union #Intersection #Complement #ProbabilityRules #Statistics #Mathematics #QuantitativeMethods #DataScienceEducation

Course Hive

Continue this lesson in the app

Install CourseHive on Android or iOS to keep learning while you move.

Related Courses

FAQs

Course Hive
Download CourseHive
Keep learning anywhere