1
Q
Basic operational rules for normal distributions
A
2
Q
How do you convert a N(μ,σ2) into a N(0,1) - a standard normal?
A
Prelims - Quantz
flashcards
Decks in class (32)
# Cards
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P1. Probability Basics10
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P2. Conditional Probability7
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P3. Independence and Bayes' Rule12
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D1. Data Basics7
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D2. Probability Mass Functions6
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D3. Probability Density Function5
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D4. Cumulative Distributive Functions8
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D5. Standardisation2
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D6. Multivariate Data5
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M1. Expectations12
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M2. Variance5
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M3. Conditional Expectations4
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M4. Covariance, Correlation and Independence9
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S1. Populations, samples and random statistics11
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S2. Parameters, Statistics and estimation26
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S3. The Law of Large Numbers and the Central Limit Theorem4
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S4. Statistical Inference6
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S5. Confidence Intervals22
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S6. Tests for Statistical Hypotheses10
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T1. Time Series Data22
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T2. Notation and Basic Operations3
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T3. Deterministic and Stochastic Time Series8
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T4. Stationarity4
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T5. Time Series Models15
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T6. Mean Reversion9
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T7. Spurious Correlation2
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C1. The Potential Outcomes Framework10
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C2. Selection Bias3
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C3. Randomised Controlled Trials4
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C4. Internal and External Validity of RCTs13
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C5. Natural and Quasi-experiments4
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C6. The Conditional Independence Assumption (CIA)9
