A-Level Maths OCR B (MEI) H640

14: Probability

#14.1

Calculate probabilities

Be able to calculate the probability of an event.

Using modelling assumptions such as equally likely outcomes.

Notation:

  • P(A)
#14.2

Complementary event

Understand the concept of a complementary event and know that the probability of an event may be found by means of finding that of its complementary event.

Notation:

  • AA' is the event “not-AA”.
#14.3

Expected frequency of an event

Be able to calculate the expected frequency of an event given its probability.

Notation:

  • Expected frequency =nP(A)= nP(A)
#14.4

Use diagrams to calculate probabilities

Be able to use appropriate diagrams to assist in the calculation of probabilities.

E.g. tree diagrams, sample space diagrams, Venn diagrams.

#14.5

Mutually exclusive and independent events

Understand and use mutually exclusive events and independent events.

#14.6

Add probabilities for mutually exclusive events

Know to add probabilities for mutually exclusive events.

E.g. to find P(A or B)P(A~or~B) .

#14.7

Multiply probabilities for independent events

Know to multiply probabilities for independent events.

E.g. to find P(A and B)P(A~and~B). Including the use of complementary events, e.g. finding the probability of at least one 6 in five throws of a dice.

#14.8

Notation and definitions for mutually exclusive and independent events

Understand and use mutually exclusive events and independent events and associated notation and definitions.

For mutually exclusive events P(AB)=0P(A ∩ B) = 0 for any pair of events.

#14.9

Venn diagrams

Be able to use Venn diagrams to assist in the calculations of probabilities. Know how to calculate probabilities for two events which are not mutually exclusive.

Venn diagrams for up to three events.

Learners should understand the relation:

P(AB)=P(A)+P(B)P(AB)P(A ∪ B) = P(A) + P(B) - P(A ∩ B).

Excludes: Probability of a general or infinite number of events. Formal proofs.

#14.10

Conditional probabilities

Be able to calculate conditional probabilities by formula, from tree diagrams, two-way tables, Venn diagrams or sample space diagrams.

P(AB)=P(AB)P(B)P(A|B) = \dfrac{P(A∩B)}{P(B)}

Excludes: Finding reverse conditional probability i.e. calculating P(BA)P(B|A) given P(AB)P(A|B) and additional information.

#14.11

Independent events

Know that P(BA)=P(B)    BP(B|A) = P(B) \iff B and AA are independent.

In this case P(AB)=P(A)P(B)P(A ∩ B) = P(A)⋅P(B).

13
Data presentation and interpretation
15
Probability distributions