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Lesson pack · IGCSE Maths 0580 · 8.1 · IGCSE

Introduction to probability

From impossible to certain. Every probability is a number from 0 to 1.

Student lesson Lab, full screen
At a glance

The shape of the lesson

Topic
Probability
Syllabus reference
Cambridge IGCSE Mathematics 0580, 8.1
Level
IGCSE
Duration
45 minutes, lab-led; stretches to a 60 minute block (see the contingency notes)
Position in topic
Lesson 1 of 5 in Probability; leads into Relative and expected frequencies
Central model
Fig. 1: the probability scale; picking a red counter from a bag of 3 red and 7 other counters has probability 0.3, so it is unlikely
Cooperative structure
Assessment
Stage 1 check and the exam-style plenary from the student lesson, plus the worksheet as the exit task
Learning objectives

By the end of the lesson, learners can

Section by section
  • The probability scale: In the lab, choose how many counters of each colour go in the bag, then pick an event.
  • When it does not happen: An event either happens or it does not, so the two probabilities add up to 1.
  • Reading tables and Venn diagrams: Often the outcomes are people or objects counted in a table or a Venn diagram.
Key points to leave on the board
  • Scale: 0 impossible, 1 certain; nothing outside 0 to 1.
  • Equally likely: P = number wanted \(\div\) total number.
  • Not happening: \(\text{P(not A)} = 1 - \text{P(A)}\) (Extended: \(\text{P}(A')\)).
  • All outcomes: the probabilities add up to 1, so a missing one is 1 minus the rest.
  • Format: fraction, decimal or percentage, never "3 out of 10".
The core visual model

One picture every idea returns to

For equally likely outcomes, \(\text{P(event)} = \dfrac{\text{number of outcomes in the event}}{\text{total number of outcomes}}\). Probabilities lie from 0 (impossible) to 1 (certain), and \(\text{P(not A)} = 1 - \text{P(A)}\).

00.51 impossible unlikely even chance likely certain P(red) = 3/10 = 0.3
Fig. 1: the probability scale; picking a red counter from a bag of 3 red and 7 other counters has probability 0.3, so it is unlikely
Lesson sequence

Forty-five minutes, phase by phase

TimePhaseWhat happens in the roomGrouping
0 to 5 minHook: predictOpen with the question in the title, From impossible to certain.. Every probability is a number from 0 to 1. Put the figure on the board: it is the one picture every idea in the lesson returns to.Whole class, then pairs
5 to 13 minTeach and check: The probability scaleIn the lab, choose how many counters of each colour go in the bag, then pick an event. Project tab 1 of the lab (Probability lab, probability scale) and let a student drive it while the class predicts. Model the worked example Counters in a bag on the board, one line at a time.Whole class, then pairs
13 to 21 minTeach and check: When it does not happenAn event either happens or it does not, so the two probabilities add up to 1. Model the worked example Not happening on the board, one line at a time. Your turn: The probability that it rains tomorrow is 37%. What is the probability that it does not rain?Pairs
21 to 30 minTeach and check: Reading tables and Venn diagramsOften the outcomes are people or objects counted in a table or a Venn diagram. Model the worked example Two-way table on the board, one line at a time.Think-Pair-Share
30 to 36 minCheckThe four Stage 1 questions from the student lesson, answered on mini whiteboards or by show of fingers. Re-teach the one most get wrong.Individual, then whole class
36 to 43 minPlenaryThe exam-style questions from Stage 2, one at a time: thirty seconds alone, then a random call. The feedback lines in the key give the examiner's wording.Individual, random call
43 to 45 minExit and homeworkSet the worksheet below (6 questions, 16 marks). Learners self-assess against the objectives before they leave.Individual
Timing and contingency

Protect the parts that carry the learning

The sequence carries about fifty minutes of material, so the lab is driven by one student while the class predicts rather than explored freely. Times are a guide.

Protected: the check at 30 minutes. It is the only individual read on whether the key idea landed, and it is not cut.

Cut first if the build overruns: the last check in Reading tables and Venn diagrams, never the check or the plenary.

In a 60 minute block: run worksheet questions 1 to 3 in class as a Rally Coach set and model both the hardest worked example and its check live.

Running the cooperative task

Think-Pair-Share

Pose the question, give thirty seconds of silent thinking, then a minute to compare with a partner before a few pairs share with the class. The silent minute is the part that cannot be cut.

The full structure, with its variations and the other twelve, is on the cooperative-learning page.

Examiner traps to pre-empt

What to head off, and how

Trap learners fall intoTeaching move that pre-empts it
A probability bigger than 1 or below 0 is always wrong.If you get one, you have probably divided the wrong way round.
The rule \(1 - p\) only works for an event and its opposite.P(not blue) is \(1 - \text{P(blue)}\); it is not P(red), and it is not \(1 - \text{P(red)}\).
In a Venn diagram, "likes coffee" includes the overlap.Using only the "coffee only" region (10) is the usual slip.
Worksheet

Introduction to probability: worksheet

6 questions, 16 marks. Written in the style of the papers; no past paper question is reproduced.

NameClassDate
Q1 · recall[3 marks]

A fair six-sided dice is rolled. Find the probability of rolling (a) a 5 (b) an even number (c) a 7.

Q2 · recall[1 mark]

The probability that a bus is late is 0.12. Find the probability that the bus is not late.

Q3 · calculation[2 marks]

A bag contains 5 red, 8 white and 7 black beads. One bead is taken at random. Find the probability that it is (a) white (b) not black.

Q4 · calculation[3 marks]

A biased four-sided spinner is numbered 1 to 4. P(1) = 0.3, P(2) = 0.25, and 3 and 4 are equally likely.

(a) Find P(3). (b) Find the probability that the spinner lands on an odd number.

Q5 · analysis[3 marks]

The table shows the pets owned by 60 people (each owns exactly one).

CatDog
Adult1218
Child1416

One person is chosen at random. Find the probability that the person is (a) a child (b) an adult who owns a dog (c) a cat owner.

Q6 · analysis[4 marks]

A box contains 40 chocolates. Each is milk, dark or white. A chocolate is chosen at random: P(milk) = 0.45 and P(dark) = 0.3.

(a) How many white chocolates are in the box?

(b) 4 more dark chocolates are added to the box. Find the new probability of choosing a dark chocolate.

Answer key and marking notes
Q1 · 3 marks
  • (a) \(\tfrac{1}{6}\)
  • (b) 2, 4 or 6: \(\tfrac{3}{6} = \tfrac{1}{2}\)
  • (c) Impossible: 0
Q2 · 1 mark

\(1 - 0.12 = 0.88\)

Q3 · 2 marks
  • Total \(= 20\) beads.
  • (a) \(\tfrac{8}{20} = \tfrac{2}{5}\)
  • (b) \(\tfrac{5 + 8}{20} = \tfrac{13}{20}\)
Q4 · 3 marks
  • (a) \(0.3 + 0.25 + 2x = 1\), so \(2x = 0.45\) and P(3) \(= 0.225\)
  • (b) Odd means 1 or 3: \(0.3 + 0.225 = 0.525\)
Q5 · 3 marks
  • (a) \(14 + 16 = 30\): \(\tfrac{30}{60} = \tfrac{1}{2}\)
  • (b) \(\tfrac{18}{60} = \tfrac{3}{10}\)
  • (c) \(12 + 14 = 26\): \(\tfrac{26}{60} = \tfrac{13}{30}\)
Q6 · 4 marks
  • (a) P(white) \(= 1 - 0.45 - 0.3 = 0.25\), so \(0.25 \times 40 = 10\) white.
  • (b) Dark at first: \(0.3 \times 40 = 12\). Now 16 dark out of 44.
  • P(dark) \(= \tfrac{16}{44} = \tfrac{4}{11}\)
Quiz

6 multiple-choice questions on this lesson

From the topic question bank. Assign them in the app for a marked score in your gradebook, or run the topic as a class game.

Q11 mark

A bag contains 4 red, 7 blue and 9 white beads. One bead is taken at random. Find the probability that it is blue.

  • A\(\tfrac{7}{20}\)
  • B\(\tfrac{7}{13}\)
  • C\(\tfrac{1}{3}\)
  • D\(\tfrac{13}{20}\)
Q21 mark

A biased spinner can land on red, blue, green or yellow. P(red) = 0.3, P(blue) = 0.25 and P(green) = 0.15. Find the probability that the spinner does NOT land on yellow.

  • A0.7
  • B0.3
  • C0.55
  • D0.45
Q31 mark

The table shows how 55 students travel to school.

WalkBusCarTotal
Year 10129425
Year 11815730
Total20241155
One of the 55 students is chosen at random. Find the probability that the student is in Year 11 and travels by bus.

  • A\(\tfrac{3}{11}\)
  • B\(\tfrac{1}{2}\)
  • C\(\tfrac{5}{8}\)
  • D\(\tfrac{24}{55}\)
Q41 mark

Thirty cards are numbered 1 to 30. One card is chosen at random. Find the probability that its number is a multiple of 4 or a multiple of 6 (or both).

  • A\(\tfrac{1}{3}\)
  • B\(\tfrac{2}{5}\)
  • C\(\tfrac{1}{15}\)
  • D\(\tfrac{7}{30}\)
Q51 mark

In a club of 50 members, 22 play tennis (\(T\)), 18 play golf (\(G\)) and 7 play both. A member is chosen at random. Find \(\text{P}(T \cap G')\).

  • A0.3
  • B0.44
  • C0.14
  • D0.22
Q61 mark

A bag contains only red, blue and green counters. A counter is taken at random. \(\text{P}(R) = 0.35\) and \(\text{P}(G') = 0.75\). There are 18 more blue counters than green counters. How many counters are in the bag?

  • A120
  • B45
  • C72
  • D24
Quiz key
Q1: A

Total \(= 4 + 7 + 9 = 20\) beads, all equally likely, and 7 are blue: \(\text{P(blue)} = \tfrac{7}{20}\). The tempting \(\tfrac{7}{13}\) compares blue with the 13 beads that are not blue, instead of with all 20. \(\tfrac{1}{3}\) treats the three colours as equally likely, and \(\tfrac{13}{20}\) is P(not blue).

Q2: A

P(yellow) \(= 1 - 0.3 - 0.25 - 0.15 = 0.3\), so P(not yellow) \(= 1 - 0.3 = 0.7\) (the same as \(0.3 + 0.25 + 0.15\)). The tempting 0.3 is P(yellow) itself, the answer to a different question. 0.55 adds only red and blue, and 0.45 subtracts only red and blue from 1.

Q3: A

15 students are in Year 11 AND travel by bus, out of 55: \(\tfrac{15}{55} = \tfrac{3}{11}\). The tempting \(\tfrac{1}{2}\) divides by the 30 Year 11 students only, and \(\tfrac{5}{8}\) divides by the 24 bus users only; the choice is from all 55. \(\tfrac{24}{55}\) counts every bus user, including Year 10.

Q4: A

Multiples of 4: 4, 8, 12, 16, 20, 24, 28 (7). Multiples of 6: 6, 12, 18, 24, 30 (5). 12 and 24 are in both lists, so there are \(7 + 5 - 2 = 10\) different numbers: \(\tfrac{10}{30} = \tfrac{1}{3}\). The tempting \(\tfrac{2}{5}\) counts 12 and 24 twice (\(\tfrac{12}{30}\)). \(\tfrac{1}{15}\) counts only the numbers in both lists, and \(\tfrac{7}{30}\) counts only the multiples of 4.

Q5: A

Tennis only \(= 22 - 7 = 15\), so \(\text{P}(T \cap G') = \tfrac{15}{50} = 0.3\). The tempting 0.44 is \(\tfrac{22}{50} = \text{P}(T)\), which includes the 7 who also play golf. 0.14 is \(\text{P}(T \cap G)\), and 0.22 is golf only, \(\text{P}(T' \cap G) = \tfrac{11}{50}\).

Q6: A

\(\text{P}(G) = 1 - 0.75 = 0.25\), so \(\text{P}(B) = 1 - 0.35 - 0.25 = 0.4\). The extra blue counters are \(0.4 - 0.25 = 0.15\) of the bag, so \(0.15n = 18\) and \(n = 120\). The tempting 45 treats 18 as the number of blue counters (\(18 \div 0.4\)). 72 treats it as the number of green (\(18 \div 0.25\)), and 24 divides by \(\text{P}(G') = 0.75\).

Lab and demo

What to project

The student lesson embeds these tabs. Open them full screen on the projector; every slider has a drag handle on the stage.

Slides

Slides for this lesson

A projectable deck for every pack is on the way. Until then, present the student lesson full screen: its sections, figure and lab tabs follow the same order as the plan above.

Also for this topic

Everything else you can use

Original work by the TheLucidSTEM team. The worksheet items are written in the style of the papers; no past paper question is reproduced.