D5. Standardisation Flashcards
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
- P1. Probability Basics
- P2. Conditional Probability
- P3. Independence and Bayes' Rule
- D1. Data Basics
- D2. Probability Mass Functions
- D3. Probability Density Function
- D4. Cumulative Distributive Functions
- D5. Standardisation
- D6. Multivariate Data
- M1. Expectations
- M2. Variance
- M3. Conditional Expectations
- M4. Covariance, Correlation and Independence
- S1. Populations, samples and random statistics
- S2. Parameters, Statistics and estimation
- S3. The Law of Large Numbers and the Central Limit Theorem
- S4. Statistical Inference
- S5. Confidence Intervals
- S6. Tests for Statistical Hypotheses
- T1. Time Series Data
- T2. Notation and Basic Operations
- T3. Deterministic and Stochastic Time Series
- T4. Stationarity
- T5. Time Series Models
- T6. Mean Reversion
- T7. Spurious Correlation
- C1. The Potential Outcomes Framework
- C2. Selection Bias
- C3. Randomised Controlled Trials
- C4. Internal and External Validity of RCTs
- C5. Natural and Quasi-experiments
- C6. The Conditional Independence Assumption (CIA)
