IB Maths AI 4.6 Definitions

This page contains our IB Maths AI definitions for 4.6. By learning each one of these definitions, you will fully cover the content for IB Maths AI 'Probability distributions'.

All Topic 4 Sub-topics 4.1: Fundamentals Of Statistics 4.2: Visualising Statistics 4.3: Distribution Properties 4.4: Introduction To Linear Statistics 4.5: Probability 4.6: Probability Distributions 4.7: Hypotheses & Tests (HL)4.8: Data collection & categorisation (HL)4.9: Advanced linear statistics (HL)4.10: Linear transformations & combinations (HL)4.11: Confidence intervals (HL)4.12: Poisson distribution (HL)4.13: Distribution tests (HL)4.14: Transition matrices

discrete

Taking separate, countable values, usually whole numbers.

mean

The expected value of a random variable; if $X \sim \mathrm{Poisson}(\lambda)$ , then $E(X) = \lambda$

probability

Measures how likely an event is to happen, taking a value between $0$ and $1$ , where $0$ means impossible and $1$ means certain.

random

Describing an outcome that cannot be predicted with certainty in advance, even though long-run patterns may be modelled using probabilities.

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