Non-Parametric Tests MCQs Explained | Chi-Square, Contingency Coefficient & Mann-Whitney U Test скачать в хорошем качестве

Non-Parametric Tests MCQs Explained | Chi-Square, Contingency Coefficient & Mann-Whitney U Test

Welcome to today’s session 🙏 In this video, we are going to discuss important MCQs on Non-Parametric Tests with clear and simple explanations. This lecture is specially designed for B.Ed., M.Ed., NET, SET, JKSSB, CUET, PhD Coursework, and Teacher Education students. 📌 Topics Covered in This Video: ✔ Concept of Non-Parametric Tests (Distribution-Free Tests) ✔ When to use Non-Parametric Tests ✔ Advantages & Limitations ✔ Chi-Square Test Concept Assumptions Observed vs Expected Frequencies Test of Independence ✔ Contingency Coefficient Meaning Range Interpretation ✔ Mann–Whitney U Test Purpose Assumptions Procedure (Ranking Method) Relation with Independent Samples t-test ✔ Kruskal–Wallis Test (Overview) ✔ Exam-oriented MCQs with correct answers All questions are explained in easy Hinglish language, making this video useful even for beginners in statistics. 🎯 This Video is Useful For: B.Ed. / M.Ed. Students NET / SET / JKSSB / KVS / DSSSB Aspirants PhD Coursework (Research Methodology & Statistics) Teacher Education & Educational Research Anyone preparing MCQs on Non-Parametric Tests 👉 Watch till the end for full conceptual clarity. 👉 Like, Share & Subscribe to support the channel. 🔔 Subscribe to my YouTube Channel – Education and Teacher Education for more exam-oriented lectures on Research Methodology and Statistics. 🔎 Suggested Hashtags #NonParametricTests #ChiSquareTest #MannWhitneyUTest #ContingencyCoefficient #StatisticsForEducation #NETSET #BEd #MEd #EducationalResearch #TeacherEducation