Statistics for Data Science 1 - W5_L4: Permutations & combinations - permutations : objects not distinct

Welcome to Week 5 Lecture 4 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 continues the exploration of permutations and combinations, focusing on how to arrange objects that are not distinct. We begin by revisiting linear arrangements of distinct and identical objects, and then move on to cases involving repetition. The lecture also introduces circular permutations, explaining how to account for clockwise and anticlockwise arrangements. Along the way, we simplify factorial expressions and conclude with a brief overview of the concept of combinations, setting the stage for deeper study in upcoming sessions. 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 #Permutations #Combinations #Mathematics #Factorial #Arrangements #CircularPermutations #DistinctObjects #IdenticalObjects #LinearArrangements #Counting #Probability #Maths #Lecture #Combinatorics #Statistics #DataScienceEducation #QuantitativeMethods #CountingPrinciples