Sampling Theory Simplified (Part 4) | Sampling Distribution | CFA Level 1 Quantitative Methods

Sampling Theory is one of the most important foundations of statistical inference and forms the bridge between Normal Distribution and Hypothesis Testing in the CFA Level 1 Quantitative Methods syllabus.

In this video, Nikhil Sir (Founder, SFMGuru) explains Sampling Theory in a clear, step-by-step, and practical manner:
✅ What is Sampling Distribution and why it matters
✅ What is the role of Sampling Distribution
✅ Central Limit Theorem
✅ Law of Large Numbers
✅ Population Mean and the Standard Error of the Sample Mean
✅ Linking with Normal Distribution and Testing of Hypothesis
✅ Practical examples including bond indexing, research studies, and real-world applications

🎓 Key Learning Outcome:
By the end of this video, you’ll understand how sampling helps us draw meaningful conclusions about a population using limited data — an essential skill before entering Hypothesis Testing.

📘 Next Video in the Series:
➡️ Sampling Distribution and Law of Large Numbers – CFA Level 1 Simplified

🔗 Watch Previous Segment:
➡️ Normal Distribution Explained – CFA Level 1 Quantitative Methods Playlist

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►►About CA Nikhil Jobanputra:

CA NIKHIL JOBANPUTRA is a highly respected & accomplished professional educator with a demonstrated trajectory in the field of training CA, CFA and CMA students, known for his proficiency, dedication, and commitment in delivering top quality professional training and proven results. With over 20 years of experience, he has coached over 40,000 students across India. His expertise lies in teaching CA, CFA and CMA students, notably in Strategic Financial Management, Financial Reporting, IFRS & Ind AS.

He realized his penchant for teaching in 1997, when he started his Institute, post that there was no stopping him and the journey still continues as a Founder Faculty of Incito Academy. He is the founder and core faculty of SFM Guru, an institution that is known for making the learning experience interesting and engaging.

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