This handout covers Topic 8, Probability. Parts marked (Extended) are only tested on the Extended papers; everything else is for both levels.
Probability
IGCSE Mathematics · Topic 8
8.1
The probability scale
Syllabus
| Subject content | Notes and examples |
|---|---|
| 1 Understand and use the probability scale from 0 to 1. | Probability notation is not required. Probabilities should be given as a fraction, decimal or percentage. Problems may require using information from tables, graphs or Venn diagrams (limited to two sets). |
| 2 Calculate the probability of a single event. | |
| 3 Understand that the probability of an event not occurring = 1 – the probability of the event occurring. | e.g. The probability that a counter is blue is 0.8. What is the probability that it is not blue? |
| Subject content | Notes and examples |
|---|---|
| 1 Understand and use the probability scale from 0 to 1. | $\text{P}(A)$ is the probability of $A$ |
| 2 Understand and use probability notation. | $\text{P}(A')$ is the probability of not $A$ |
| 3 Calculate the probability of a single event. | Probabilities should be given as a fraction, decimal or percentage. Problems may require using information from tables, graphs or Venn diagrams. |
| 4 Understand that the probability of an event not occurring = 1 – the probability of the event occurring. | e.g. $\text{P}(B) = 0.8$, find $\text{P}(B')$ |
Source: Cambridge International syllabus
Dice: the probability scale runs from impossible (0) to certain (1).
Probability 概率 measures how likely an event 事件 is. It runs on a scale from $0$ (impossible) to $1$ (certain), and can be written as a fraction, decimal or percentage. We write $\text{P}(A)$ for the probability of event $A$.
Probability runs from $0$ (impossible) to $1$ (certain), with $\tfrac12$ an even chance.
For equally likely outcomes 结果,
The probability that an event does not happen is
Worked example. A bag has $3$ red and $5$ blue counters. Find the probability of not drawing red.
The probability scale
Slide the marker from 0 (impossible) to 1 (certain) to place an event on the probability scale.
| English | Chinese | Pinyin |
|---|---|---|
| probability | 概率 | gài lǜ |
| event | 事件 | shì jiàn |
| outcome | 结果 | jié guǒ |
8.2
Relative frequency and expected frequency
Syllabus
| Subject content | Notes and examples |
|---|---|
| 1 Understand relative frequency as an estimate of probability. | e.g. use results of experiments with a spinner to estimate the probability of a given outcome. |
| 2 Calculate expected frequencies. | e.g. use probability to estimate an expected value from a population. Includes understanding what is meant by fair, bias and random. |
| Subject content | Notes and examples |
|---|---|
| 1 Understand relative frequency as an estimate of probability. | e.g. use results of experiments with a spinner to estimate the probability of a given outcome. |
| 2 Calculate expected frequencies. | e.g. use probability to estimate an expected value from a population. |
| Includes understanding what is meant by fair, bias and random. |
Source: Cambridge International syllabus
When outcomes are not equally likely, do an experiment. The relative frequency 相对频率 estimates the probability:
The more trials you do, the better the estimate. A fair 公平 object gives equal chances; one with bias 偏倚 does not; random 随机 means each outcome happens by chance.
The expected frequency 期望频数 is how many times you expect an event in $n$ trials:
Worked example. The probability of rolling a six is $\tfrac{1}{6}$. How many sixes are expected in $300$ rolls?
Two-dice probability
Roll the two dice many times: the bars start jumpy but settle into the theoretical triangle peaking at 7 — experimental probability closing in on theory.
| English | Chinese | Pinyin |
|---|---|---|
| relative frequency | 相对频率 | xiāng duì pín lǜ |
| fair | 公平 | gōng píng |
| bias | 偏倚 | piān yǐ |
| random | 随机 | suí jī |
| expected frequency | 期望频数 | qī wàng pín shuò |
8.3
Combined events
Syllabus
| Subject content | Notes and examples |
|---|---|
| Calculate the probability of combined events using, where appropriate: • sample space diagrams • Venn diagrams • tree diagrams. | Combined events will only be with replacement. |
| Venn diagrams will be limited to two sets. | |
| In tree diagrams, outcomes will be written at the end of the branches and probabilities by the side of the branches. |
| Subject content | Notes and examples |
|---|---|
| Calculate the probability of combined events using, where appropriate: • sample space diagrams • Venn diagrams | Combined events could be with or without replacement. |
| The notation $\text{P}(A \cap B)$ and $\text{P}(A \cup B)$ may be used in the context of Venn diagrams. | |
| • tree diagrams. | On tree diagrams outcomes will be written at the end of branches and probabilities by the side of the branches. |
Source: Cambridge International syllabus
A fair spinner: eight identical sectors, so each number is an equally likely outcome.
For two or more events together (combined events 组合事件), two rules help:
- AND (both happen): multiply the probabilities — when the events are independent 独立事件 (one does not affect the other).
- OR (either happens): add the probabilities — when the events are mutually exclusive 互斥 (they cannot both happen).
Three pictures help you organise the work.
Sample space diagrams
A sample space diagram 样本空间图 is a table or grid listing every possible outcome — useful for two dice or two spinners. Count the outcomes you want out of the total.
A sample space diagram lists every outcome; for the total of two dice there are $36$ equally likely cells.
Venn diagrams
A Venn diagram 维恩图 sorts outcomes into overlapping sets. From it you can read $\text{P}(A \cap B)$ (in both) and $\text{P}(A \cup B)$ (in either).
The overlap is $\text{P}(A\cap B)=0.2$; everything inside either circle is $\text{P}(A\cup B)=0.6$; outside both is $0.4$.
Tree diagrams
A tree diagram 树状图 shows each stage as a set of branches. Write the probability on each branch and the outcome at the end. Multiply along the branches, then add the paths you want.
Worked example (with replacement). From the bag ($3$ red, $5$ blue), a counter is drawn, replaced, then a second is drawn. This is with replacement 有放回, so the chances do not change. Find the probability of two reds.
On a tree diagram, multiply the probabilities along the branches; the four outcomes' probabilities add to $1$.
Worked example (without replacement, Extended). Now the first counter is not replaced — drawing without replacement 无放回. After one red is taken, $2$ reds remain out of $7$:
Probability tree
Multiply the probabilities along each branch; the four outcomes always add up to 1.
Combined events
P(A ∩ B) = P(A)·P(B|A)
Combine two events: the area model shows AND (overlap) versus OR (union).
| English | Chinese | Pinyin |
|---|---|---|
| combined events | 组合事件 | zǔ hé shì jiàn |
| independent events | 独立事件 | dú lì shì jiàn |
| mutually exclusive | 互斥 | hù chì |
| sample space diagram | 样本空间图 | yàng běn kōng jiān tú |
| Venn diagram | 维恩图 | wéi ēn tú |
| tree diagram | 树状图 | shù zhuàng tú |
| with replacement | 有放回 | yǒu fàng huí |
| without replacement | 无放回 | wú fàng huí |
8.4
Conditional probability (Extended)
Syllabus
| Subject content | Notes and examples |
|---|---|
| Calculate conditional probability using Venn diagrams, tree diagrams and tables. | Knowledge of notation, $\text{P}(A|B)$, and formulas relating to conditional probability is not required. |
Source: Cambridge International syllabus
Conditional probability 条件概率 is the probability of one event given that another has already happened. Read it from a Venn diagram, two-way table or tree diagram by looking only at the part that matches the condition.
Worked example. In a class of $30$, $18$ study French and, of those, $7$ also study German. A French student is picked. Find the probability they also study German.
Look only at the $18$ French students:
Probability trees
Change the branch probabilities and read combined and conditional probabilities off the tree.
| English | Chinese | Pinyin |
|---|---|---|
| conditional probability | 条件概率 | tiáo jiàn gài lǜ |
8.4
Exam tips
- Every probability lies between $0$ and $1$, and the probabilities of all the outcomes add to $1$.
- For "and" (both events) multiply the probabilities; for "or" (either event) add them. On a tree diagram, multiply along the branches.
- Watch for without replacement: the second probability changes because one item has already been removed.
- Expected frequency = probability × number of trials.