W11_L1: Hypothesis testing: introduction to hypothesis testing

Welcome to Week 11 Lecture 1 of the course "Statistics for Data Science - II" by Prof. Andrew Thangaraj Full Course: https://study.iitm.ac.in/ds/course_pa... Video Overview This lecture introduces the fundamentals of hypothesis testing, one of the most important concepts in statistics. Starting with a simple coin toss example, we define the null and alternative hypotheses, acceptance regions, and the two types of errors—Type I and Type II. We explain significance level (alpha), power (1-beta), and the trade-offs involved in hypothesis testing. The lecture also introduces the Neyman-Pearson framework, showing how samples are accepted or rejected based on well-defined statistical criteria. This sets the stage for applying hypothesis testing in more advanced real-world scenarios. 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/stud... #HypothesisTesting #Statistics #NullHypothesis #AlternativeHypothesis #SignificanceLevel #Alpha #Power #Beta #Type1Error #Type2Error #AcceptanceRegion #StatisticalAnalysis #CoinTossExample #NeymanPearson #Samples #DataScience #Lecture #Tutorial