Understanding Normal Distribution (Part 2) – Simplified for CFA Level 1 Students

Learn Normal Distribution in the most systematic and simplified way — exactly the way CFA Level 1 demands it!

In this video, Professor Nikhil (Founder, SFMGuru) explains:
What is a Normal (Gaussian) Distribution
Key Characteristics – Symmetry, Bell Shape, and Empirical Rule (68–95–99.7)
The role of Mean (μ) and Standard Deviation (σ)
Concept of Z-Scores and how to calculate probabilities
Step-by-step Example on Stock Returns and Z-values

💡 Key Takeaway:
By the end of this video, you will understand how probability is distributed around the mean and how Z-scores connect raw data to probabilities — forming the foundation for Sampling and Hypothesis Testing in upcoming videos.

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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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