CFA Level 1: Hypothesis Testing | Null & Alternative Hypotheses, Significance and Type I Errors
Автор: Martin Stoynov
Загружено: 2025-03-12
Просмотров: 499
In this video, I introduce key hypothesis testing concepts, essential for statistics, econometrics, and CFA Level 1 exam prep. You'll learn the fundamental principles behind statistical inference, including:
What You'll Learn:
The meaning of the Null (H₀) and Alternative (H₁) Hypotheses.
The difference between one-tailed and two-tailed tests.
The role of the significance level (α) in hypothesis testing.
Understanding Type I errors (false positives) and their implications.
This video is perfect for CFA candidates, finance students, and data analysts looking to strengthen their understanding of statistical hypothesis testing.
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