Probability Formulae

What is meant by probability formulae?

If you have seen any of the other Revision Notes on probability, almost every one contains a formula
- These however are often disguised in Venn diagrams, tree diagrams etc
- Sometimes a diagram can be easier to use than a formula
This Revision Note rounds up all these formulae and introduces one or two new ones

What probability formulae are there?

Some formulae only apply under certain conditions
The formulae for probability you should’ve encountered so far
- for independent events, $P (A \cap B) = P (A) \times P (B)$ (“AND”, intersection)
- for mutually exclusive events, $P (A \cup B) = P (A) + P (B)$ (“OR”, union)
- $P (A') = 1 - P (A)$ (“NOT”, complement/prime/dash)
- $P (A | B) = \frac{P (A \cap B)}{P (B)}$ or $P (A \cap B) = P (B) \times P (A | B)$
  (“GIVEN THAT”)
  This second version in particular is referred to as the MULTIPLICATION FORMULA (see diagram below)
- For independent events, $P (A | B) = P (A)$

3-2-4-fig1-venn-tree-add-multiply-part-1

3-2-4-fig1-venn-tree-add-multiply-part-2

All of the formulae above are given in the formulae booklet but some are “hidden”
- e.g. The formulae booklet lists the addition formula

$P (A \cup B) = P (A) + P (B) - P (A \cap B)$ but it does not list the rearranged version of it, nor does it point out that if and are mutually exclusive then

$P (A \cap B) = 0$ and so $P (A \cup B) = P (A) + P (B)$

How do I solve problems using probability formulae?

This is a combination of
- Recognising the set notation used
- Taking note of any independent or mutually exclusive events
- Using an appropriate diagram (Venn, mini-Venn, tree, two-way table)
- Converting worded questions into AND, OR, GIVEN THAT etc statements
- Knowing when a formula could be used and using the formulae booklet to double-check and confirm
In the majority of cases a diagram can be used – so if you do not like using the formulae or find them confusing
- For events that happen in succession, use a tree diagram; Venn diagrams suit most other purposes but two-way tables can be easier to follow
- Of course, a question may give or demand the use of a particular diagram

Worked example

In the fictional World Stare Out Championships players compete by staring at each other with the player blinking first losing. A match cannot be drawn.

During each day of the championships three matches are scheduled to take place but if the first two matches both take more than an hour each, then the third match cannot take place that day.

A statistician notices from past fictional championship records that the probability of the first match taking longer than an hour is 0.15 and that the probability of only two matches taking place on any day is 0.06. They also notice that the probability that at least one of the first two matches takes longer than an hour is 0.32.

Find the probability that

(i)

the second match of a day takes longer than an hour to complete

(ii)

the first match takes longer than an hour given that the second match takes longer than an hour

wov7lfVN_3-2-4-fig2-we-solution-part-1

3-2-4-fig2-we-solution-part-2

Examiner Tip

If in any doubt always start with a diagram
- a Venn diagram can be used for most problems
- a two-way table can be easier to read if it’s possible to construct one
- a tree diagram is useful if you are looking at an event that follows another
Remember that all probability formulae are given in the formulae booklet but not necessarily in the most user-friendly way; a quick look could just be enough to jog your memory though!

Probability Formulae (Edexcel International AS Maths: Statistics 1)

Revision Note

What is meant by probability formulae?

What probability formulae are there?

How do I solve problems using probability formulae?

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1. Data Presentation & Interpretation

1.1 Statistical Measures

1.1.1 Basic Statistical Measures

1.1.2 Frequency Tables

1.1.3 Standard Deviation & Variance

1.1.4 Coding

1.1.5 Statistical Modelling

1.2 Working with Data

1.2.1 Data Presentation

1.2.2 Stem and Leaf Diagrams

1.2.3 Box Plots

1.2.4 Histograms

1.2.5 Outliers

1.2.6 Intrepreting Data

1.2.7 Skewness

1.3 Correlation & Regression

1.3.1 Properties of Scatter Diagrams

1.3.2 Correlation & Regression

1.3.3 Coding Bivariate Data

2. Probability

2.1 Basic Probability

2.1.1 Calculating Probabilities & Events

2.1.2 Venn Diagrams

2.1.3 Tree Diagrams

2.2 Further Probability

2.2.1 Conditional Probability

2.2.2 Further Venn Diagrams

2.2.3 Further Tree Diagrams

2.2.4 Probability Formulae

3. Statistical Distributions

3.1 Discrete Random Variables

3.1.1 Discrete Probability Distributions

3.1.2 E(X) & Var(X) (Discrete)

3.1.3 aX+b

3.1.4 Discrete Uniform Distribution

3.2 Normal Distribution

3.2.1 The Normal Distribution

3.2.2 Standard Normal Distribution

3.2.3 Normal Distribution - Calculations

3.2.4 Finding Sigma and Mu

Author: Paul