CFA Level 1 - Quantitative Methods & Financial Reporting Analysis
Cards in this deck
(20 cards)Preview terms and definitions before starting your study session.
- Z-Test: Use when population variance is known, or when is unknown but sample size (Central Limit Theorem).
- T-Test: Use when population variance is unknown and sample size (assuming normal population).
- Type I Error (): Rejecting a true null hypothesis (). The probability of a Type I error is the significance level .
- Type II Error (): Failing to reject a false null hypothesis ().
- Power of a Test: (probability of correctly rejecting a false null hypothesis).
- Chi-Square () Test: Used to test hypotheses concerning the variance of a single normal population ().
- F-Test: Used to test hypotheses comparing the equality of variances of two independent normal populations ().
- Geometric Mean (Compound Returns):
- Harmonic Mean (Cost Averaging):
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