Statistics for Data Science 1 - W4_L3: Association between two categorical variables - relative frequencies

Welcome to Week 4 Lecture 3 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 explains how to analyze bivariate data using contingency tables, focusing on the concept of relative frequencies. You’ll learn to calculate row and column relative frequencies and use them to determine whether two categorical variables are associated. The lecture also demonstrates how to use stacked bar charts and 100% stacked bar charts for visualizing and interpreting relationships between categories. It also emphasizes that association does not imply causation, which is a key concept in understanding categorical data analysis. 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 #CategoricalVariables #Association #ContingencyTable #RelativeFrequency #RowFrequency #ColumnFrequency #DataAnalysis #Statistics #MarketResearch #OrdinalVariables #NominalVariables #PivotTable #GoogleSheets #DataVisualization #BivariateAnalysis #DataScience #StackedBarChart #StatisticalLearning #QuantitativeMethods #DataInterpretation