Chance and Probability ICSE Class 8: Coins, Dice and the 0 to 1 Scale
Updated 15 October 2026 · Fact-checked
Probability measures how likely an event is, as a number from 0 (impossible) to 1 (certain). In ICSE Class 8, when all outcomes are equally likely, P(event) = number of favourable outcomes ÷ total number of outcomes, used for coins, dice, bags of balls and numbered cards.
What Chance and Probability is about
Chance is how likely something is to happen. Probability puts a number on it.
The CISCE Class VIII curriculum asks you to:
- consolidate the idea of chance in events such as tossing coins and throwing dice, and relate it to chance in life events,
- express the probability of an event as a number between 0 and 1,
- understand random experiments (where the result cannot be predicted),
- judge events as unlikely (probability near 0), equally likely to happen or not (around ), or likely (near 1).
Key words:
- Experiment: an action with uncertain results (toss a coin).
- Outcome: one possible result (heads).
- Event: one or more outcomes we are interested in (getting an even number).
- Equally likely outcomes: each has the same chance (a fair coin, a fair die).
For equally likely outcomes: .
Weightage: CISCE publishes no question paper, marking scheme or chapter weightage for Class VIII Mathematics: your school sets and marks the exam. Chance and Probability sits in the Data Handling theme of the CISCE Curriculum for Upper Primary Classes (VI-VIII).Source: CISCE Curriculum for Upper Primary Classes (VI-VIII), RDCD 2016
Key concepts
- Random experiments and outcomes
A random experiment has several possible results and you cannot say in advance which one will happen.
List all outcomes first (the sample space):
- tossing a coin: , 2 outcomes;
- throwing a die: , 6 outcomes;
- tossing two coins: , 4 outcomes (HT and TH are different);
- picking a ball from a bag: one outcome for each ball.
If the coin or die is fair (unbiased), all its outcomes are equally likely.
Worked example
List the outcomes when two coins are tossed together. How many outcomes have exactly one head?
Try it first, then show the solutionSolution
- First coin H or T, second coin H or T: .
- Exactly one head: and , so 2 outcomes.
Answer: 4 outcomes; 2 with exactly one head
- Finding a probability
For equally likely outcomes:
.Steps:
1. Count the total number of outcomes.
2. List and count the outcomes that give the event.
3. Divide, and simplify the fraction.Probability can be written as a fraction, a decimal or a percentage: .
Worked example
A fair die is thrown. Find the probability of getting an even number.
Try it first, then show the solutionSolution
- Total outcomes: 6.
- Even numbers: 2, 4, 6, which is 3 outcomes.
- .
Answer:
- The probability scale from 0 to 1
Since favourable outcomes are never fewer than 0 or more than the total, every probability lies between 0 and 1: .
Probability Meaning Example (one die) 0 impossible getting a 7 near 0 unlikely getting a 6 () as likely as not getting an odd number near 1 likely getting less than 6 () 1 certain getting less than 7 Worked example
On a die, find the probability of getting (i) a 7 (ii) a number less than 7. Describe each event.
Try it first, then show the solutionSolution
- (i) No outcome is 7: , impossible.
- (ii) All 6 outcomes are less than 7: , certain.
Answer: (i) 0, impossible (ii) 1, certain
- Probability of an event not happening
An event either happens or it does not, so
.This is quicker when the 'not' event has many outcomes. For example, the probability of not getting a 6 on a die is .
Also, the probabilities of all the separate outcomes of an experiment add up to 1.
Worked example
The probability that a school bus is late on a given day is 0.42. What is the probability that it is not late?
Try it first, then show the solutionSolution
- .
- .
Answer: 0.58
- Bags, cards and spinners
Picking one item at random means every item is equally likely.
- Bag of balls: total = all the balls; favourable = balls of the colour asked for.
- Numbered cards: list the numbers that fit (even, prime, multiple of 5, perfect square).
- Spinner with equal sectors: each sector is one outcome.
Remember: 1 is not a prime number.
Worked example
A bag has 6 red, 4 blue and 2 green balls. One is drawn at random. Find P(red), P(blue) and P(not green).
Try it first, then show the solutionSolution
- Total .
- ; .
- (or ).
Answer: , ,
- Experimental probability and chance in life
If you actually do an experiment many times:
.The experimental value is usually close to, but not exactly, the theoretical value. With more trials it tends to get closer.
In daily life, probability describes things like a weather forecast ("70% chance of rain") or the chance of winning a lucky draw. A 70% chance of rain means rain is likely, not certain.
Worked example
A coin is tossed 50 times and shows heads 28 times. Find the experimental probability of heads and compare it with the theoretical value.
Try it first, then show the solutionSolution
- Experimental .
- Theoretical ; the experimental value is close but not equal.
Answer: 0.56, close to 0.5
Maths in real life: Chance and Probability
Each concept, met in an everyday situation. Read the situation, try the problem, then check the solution. The one-line hook is what to remember.
Probability as a percentage
Suppose a weather app says there is an 80% chance of rain tomorrow.
Write this as a probability and find the chance of no rain. Is rain certain?
Try it first, then show the solutionSolution
- , which is near 1: likely.
- . Rain is likely but not certain.
Answer: 0.8; 0.2; not certain
Memory hook: Likely is not the same as certain.
Equally likely outcomes
Imagine you guess the answer to a multiple-choice question with 4 options, only one of which is right.
What is the probability of guessing correctly?
Try it first, then show the solutionSolution
- Total outcomes ; favourable .
- .
Answer:
Memory hook: One right answer out of four.
Chance in a lucky draw
Suppose 150 students enter a lucky draw for 3 identical prizes, and each student can win at most once.
What is the chance that a particular student wins a prize?
Try it first, then show the solutionSolution
- 3 winners out of 150 students.
- , which is unlikely.
Answer:
Memory hook: Few winners, many entries: close to 0.
Topics in this chapter
Chance and Probability formula sheet
- Probability
- Equally likely outcomes.
- Range
- 0 impossible, 1 certain.
- Not happening
- Complement.
- Experimental
- From real trials.
How the school exam asks Chance and Probability
The question patterns to expect, and the method that works for each.
| Question type | How it is asked | Method |
|---|---|---|
| Coins and dice | Find the probability of a head, an even number, a prime number or a number greater than 4. | List outcomes; count favourable ones. |
| Bags and cards | A bag has coloured balls, or cards numbered 1 to 20; find probabilities. | Total = all items; list the ones that fit. |
| Not happening | Find P(not E) given P(E). | 1 − P(E). |
| Scale and words | Mark events on a 0–1 scale; describe as impossible, unlikely, even, likely, certain. | Compare the probability with 0, ½ and 1. |
| Experimental | A die rolled 60 times shows 6 fourteen times; compare with theory. | Times ÷ trials; compare with the theoretical fraction. |
Tricks to remember Chance and Probability
Short memory aids. Say each one aloud once, then use it on a question the same day.
Want over all
Probability = outcomes you want ÷ all outcomes.
Use it when: Every calculation.
Zero to one, never more
If you get a probability above 1 or below 0, something is wrong.
Use it when: Checking answers.
Not = 1 minus
Chance of 'not' is one minus the chance of 'yes'.
Use it when: Complement questions.
1 is not prime
Primes on a die are 2, 3 and 5 only.
Use it when: Prime-number events.
Chance and Probability: exam-level solved questions
Ordered from exam level to HOTS. Cover the solution, write your own, then compare step by step.
Example 1: Greater than 4 · 1 mark · MCQExam level
A fair die is thrown. The probability of getting a number greater than 4 is:
(a)
(b)
(c)
(d)
Try it first, then show the solutionSolution
- Favourable: 5 and 6, so 2 outcomes out of 6.
- .
Answer: (b)
Example 2: A bag of balls · 3 marks · Short answerExam level
A bag contains 4 red and 6 white balls. One ball is drawn at random. Find P(red) and P(white), and check that they add to 1.
Try it first, then show the solutionSolution
- Total .
- ; .
- ✓.
Answer: and
Example 3: Primes and multiples of 3 · 3 marks · Short answerExam level
A die is thrown once. Find the probability of getting (i) a prime number (ii) a multiple of 3.
Try it first, then show the solutionSolution
- (i) Primes: 2, 3, 5 (1 is not prime): .
- (ii) Multiples of 3: 3, 6.
- .
Answer: (i) (ii)
Example 4: Numbered cards · 3 marks · Short answerHarder exam level
Cards numbered 1 to 20 are mixed and one is drawn. Find the probability that it is (i) a multiple of 4 (ii) a prime number.
Try it first, then show the solutionSolution
- (i) Multiples of 4: 4, 8, 12, 16, 20, so 5: .
- (ii) Primes: 2, 3, 5, 7, 11, 13, 17, 19, so 8.
- .
Answer: (i) (ii)
Example 5: Two coins · 4 marks · Long answerHarder exam level
Two fair coins are tossed together. Find the probability of getting (i) two heads (ii) at least one head (iii) no head.
Try it first, then show the solutionSolution
- Outcomes: (4).
- (i) Two heads: : .
- (ii) At least one head: : .
- (iii) No head: : (also ).
Answer: (i) (ii) (iii)
Example 6: Experiment versus theory · 4 marks · Long answerHarder exam level
A die is rolled 60 times and a 6 comes up 14 times. (i) Find the experimental probability of a 6. (ii) Find the theoretical probability. (iii) How many 6s would you expect in 60 rolls of a fair die?
Try it first, then show the solutionSolution
- (i) Experimental .
- (ii) Theoretical .
- (iii) Expected .
- 14 is more than 10, which can happen by chance in a short experiment.
Answer: (i) (ii) (iii) about 10
Example 7: Working back from a probability · 5 marks · Long answerHOTS / competency
A bag has only red and blue balls. The probability of drawing a red ball is , and there are 15 blue balls. (i) How many balls are in the bag? (ii) How many are red? (iii) If 6 more red balls are added, what is the new probability of red?
Try it first, then show the solutionSolution
- .
- (i) of the total is 15, so the total is .
- (ii) Red .
- (iii) Red , total .
- New .
Answer: (i) 24 (ii) 9 (iii)
Case-study practice (Section B style)
Read the situation, then answer every part. In a school exam set on the board pattern this is a 10-mark question split into 3 + 3 + 4 marks.
The school raffle
Suppose a school sells 200 raffle tickets numbered 1 to 200, and one winning ticket is drawn at random.
(i) · 3 marks
Riya buys 5 tickets. What is the probability that she wins?
Answer
Answer:
.
(ii) · 3 marks
What is the probability that the winning number is a multiple of 10?
Answer
Answer:
Multiples of 10 from 10 to 200: 20 numbers. .
(iii) · 4 marks
What is the probability that the winning number is less than 50 or more than 180? Is this event likely or unlikely?
Answer
Answer: ; unlikely (less than )
Less than 50: 1 to 49, so 49 numbers. More than 180: 181 to 200, so 20 numbers. Total 69. , less than .
Where the marks are
How a typical answer is split into step marks. Show every step: a right final answer alone rarely earns full marks.
A bag has 5 red, 3 blue and 2 green balls. One is drawn at random. Find P(red), P(blue) and P(not green). (3 marks)
| Step | Marks |
|---|---|
| Total ; | 1 |
| 1 | |
| 1 |
Two coins are tossed. List the outcomes and find the probability of (i) exactly one tail (ii) at most one tail. (4 marks)
| Step | Marks |
|---|---|
| Outcomes | 1 |
| (i) Exactly one tail: | 1 |
| 1 | |
| (ii) At most one tail: , so | 1 |
A card is drawn from cards numbered 1 to 30. Find the probability that the number is (i) even (ii) a multiple of 5 (iii) even and a multiple of 5 (iv) prime. (5 marks)
| Step | Marks |
|---|---|
| Total outcomes | 1 |
| (i) 15 even numbers: | 1 |
| (ii) 5, 10, ..., 30: 6 numbers: | 1 |
| (iii) 10, 20, 30: | 1 |
| (iv) Primes 2, 3, 5, 7, 11, 13, 17, 19, 23, 29: | 1 |
Where students lose marks in Chance and Probability
The slips examiners see most often, and what to write instead.
Mistake: Counting 1 as prime
A prime has exactly two factors; 1 has only one.
Wrong working
Primes on a die: 1, 2, 3, 5
Right working
2, 3, 5
Do this: Start primes at 2.
Usually costs: The answer.
Mistake: Treating HT and TH as the same
With two coins, 'one head' can happen in two ways.
Wrong working
Outcomes: two heads, one head, no head, so P(one head)
Right working
:
Do this: List outcomes for each coin separately.
Usually costs: Most of the marks.
Mistake: A probability greater than 1
Usually the total and favourable counts are swapped.
Do this: Favourable goes on top; check the answer is between 0 and 1.
Usually costs: The answer.
Mistake: Not simplifying
should be given as .
Do this: Reduce fractions to lowest terms.
Usually costs: Presentation mark.
Mistake: Mixing experimental and theoretical
Results of actual trials are experimental; they need not equal the theoretical value.
Do this: Label which probability you are finding.
Usually costs: 1 mark.
Practice questions on Chance and Probability
Write each answer on paper first. Open the hint only if you are stuck, and the answer only when you have finished.
Q1 · 1 mark · MCQExam level
The probability of an impossible event is:
(a) 0
(b)
(c) 1
(d)Hint
It never happens.
Answer
(a)
Q2 · 1 mark · Very short answerExam level
A fair coin is tossed. What is the probability of getting a tail?
Hint
Two outcomes.
Answer
.
Q3 · 2 marks · Short answerExam level
A die is thrown. Find the probability of getting a number less than 3.
Hint
1 and 2.
Answer
.
Q4 · 3 marks · Short answerHarder exam level
A letter is chosen at random from the word PROBABILITY. Find the probability that it is (i) B (ii) a vowel.
Hint
11 letters; vowels O, A, I, I.
Answer
(i) (ii) .
Q5 · 1 mark · Assertion-reasonHarder exam level
Assertion (A): The probability of an event cannot be greater than 1.
Reason (R): The number of favourable outcomes can never exceed the total number of outcomes.
(a) (A) is true and (R) is false.
(b) (A) is false and (R) is true.
(c) Both (A) and (R) are true, and (R) is the correct explanation for (A).
(d) Both (A) and (R) are true, but (R) is not the correct explanation for (A).Hint
Look at the fraction.
Answer
(c)
Q6 · 2 marks · Short answerHarder exam level
A spinner has 8 equal sectors numbered 1 to 8. Find the probability that it stops on (i) an odd number (ii) a number greater than 6.
Hint
8 outcomes.
Answer
(i) (ii) .
Q7 · 1 mark · Very short answerHarder exam level
If the probability of an event is 0.35, find the probability that it does not happen.
Hint
1 − 0.35.
Answer
0.65.
Q8 · 2 marks · Short answerHarder exam level
A box has 12 bulbs, of which 3 are faulty. One bulb is picked at random. Find the probability that it is good.
Hint
9 good bulbs.
Answer
.
Q9 · 4 marks · Long answerHarder exam level
Two dice are thrown together (36 outcomes). Find the probability of (i) a total of 7 (ii) a double (both dice the same).
Hint
List pairs.
Answer
(i) (1,6), (2,5), (3,4), (4,3), (5,2), (6,1): . (ii) (1,1) to (6,6): .
Q10 · 2 marks · Short answerHarder exam level
A coin is tossed 200 times and shows heads 108 times. Find the experimental probability of (i) heads (ii) tails.
Hint
Tails = 200 − 108.
Answer
(i) (ii) .
Q11 · 3 marks · Short answerHOTS / competency
A bag has 5 red balls and some blue balls. The probability of drawing a blue ball is . How many blue balls are there?
Hint
P(red) = ⅓.
Answer
, so the total is 15 and blue .
Q12 · 3 marks · Short answerHOTS / competency
A number is chosen at random from 1 to 50. Find the probability that it is a perfect square.
Hint
1, 4, 9, …
Answer
1, 4, 9, 16, 25, 36, 49: .
Test your recall
Answer in your head or on paper first, then open the card. Pulling an answer out of memory makes it stick far better than re-reading.
1.What is the probability of an impossible event?Show answer
0.
2.What is the probability of a certain event?Show answer
1.
3.P(head) for a fair coin?Show answer
½.
4.P(4) on a fair die?Show answer
⅙.
5.If P(E) = 0.3, what is P(not E)?Show answer
0.7.
6.How many outcomes when two coins are tossed?Show answer
4.
7.Probability near 0 means the event is…?Show answer
Unlikely.
8.Primes from 1 to 10?Show answer
2, 3, 5, 7.
Best order to study it
- Learn the words experiment, outcome, event and equally likely.
- List outcomes for coins, dice, bags and cards.
- Use P = favourable ÷ total and simplify.
- Place events on the 0–1 scale and use P(not E) = 1 − P(E).
- Finish with experimental probability and life situations.
Quick revision checklist
The night before the exam: can you do each of these without looking?
- Did you list all the outcomes first?
- Did you count HT and TH separately?
- Is your answer between 0 and 1?
- Did you leave 1 out of the primes?
- Did you use 1 − P(E) where it is quicker?
- Is your fraction in lowest terms?
Chance and Probability: frequently asked questions
What does 'at random' mean?
Every item or outcome has the same chance of being chosen, with no preference.
Can probability be written as a percentage?
Yes. ½ = 0.5 = 50%. A weather forecast of 30% rain means a probability of 0.3.
Why might my experiment not match the theory?
Chance varies. In 10 tosses you might get 7 heads. Over many more trials, the proportion of heads usually gets closer to ½.
What does 'equally likely' mean?
Each outcome has the same chance, as with a fair coin or a fair die. The formula favourable ÷ total works only in that case.
What is the sum of the probabilities of all outcomes?
1, because one of the outcomes is certain to happen.
Based on: CISCE Curriculum for Upper Primary Classes (VI-VIII), Mathematics (Class VIII); CISCE RDCD: Curriculum Pre-School to Class VIII