Chapter 07

The Mathematics of Maybe: Introduction to Probability — Important Questions

Important questions on The Mathematics of Maybe: Introduction to Probability, with the marks each carries and the answers after them. Free to read and to save as a PDF.

Class 9CBSE
MathematicsSubject
Ch 07of 8
2026-27Pattern

Question bank

The Mathematics of Maybe: Introduction to Probability — Question bank20 questions · answers at the end

20 Questions | 60 Marks

1
A fair coin is tossed once. What is the probability of getting a head? 1mark
2
When a single 6-sided die is rolled, what is the total number of possible outcomes in the sample space? 1mark
3
Which of the following experiments have equally likely outcomes? Explain. 2marks(i) A driver attempts to start a car. The car starts or does not start.(ii) Tossing a fair coin once.
4
A bag contains 3 red balls, 2 blue balls, and 1 green ball. One ball is picked at random. What is the probability that it is not green? 2marks
5
A child has 2 shirts (one red and one blue) and 3 types of pants (jeans, khakis, and shorts). List all the possible combinations of outfits consisting of one shirt and one pair of pants. Display your answer in a table format. 3marks
6
In a village fair, there are 3 popular snacks available: Samosa, Pakora, and Bhaji. For drinks, villagers can choose either Chai or Lassi.(i) List the sample space of all possible snack and drink combinations a person could choose at the fair. [2 marks](ii) List the event ‘Selecting Samosa as a snack.’ 1mark
7
Three coins are tossed simultaneously. What is the probability of getting exactly two heads? 3marks
8
The letters of the word ‘PEACE’ are placed on cards. Leela draws a card without looking.(i) What is the probability that it is a P, E, or C? [2 marks](ii) What is the probability that it is not an E? 2marks
9
A tyre company records distances before replacement in 1000 cases.Distance (km) | Less than 4000 | 4001 to 9000 | 9001 to 14000 | More than 14000Number of Tyres | 20 | 210 | 325 | 445Find the probability that a randomly chosen tyre lasts:(i) Less than 4000 km. [1 mark](ii) Between 4000 and 14000 km. [2 marks](iii) More than 14000 km. 1mark
10
A game of chance consists of spinning an arrow which comes to rest pointing at one of the numbers 1, 2, 3, 4, 5, 6, 7, 8, and these are equally likely outcomes. What is the probability that it will point at:(i) 8? [1 mark](ii) An odd number? [1 mark](iii) A number greater than 2? [1 mark](iv) A number less than 9? [1 mark](v) A multiple of 3? 1mark
11
A survey is conducted at a school where a random sample of 40 students is asked about their favourite club. The responses are: 14 students: Science Club | 11 students: Arts Club | 9 students: Sports Club | 6 students: Debate Club. Assume there are 800 students in the whole school.(i) What is the probability that a randomly chosen student from the sample prefers the Arts Club? [2 marks](ii) Using the sample results, estimate how many students in the whole school are likely to prefer the Sports Club. 2marks
12
A teacher mixes a large bag of sweets of different colours and randomly selects a sample of 30 sweets. She counts the number of sweets of each colour: 10 red sweets | 8 green sweets | 7 yellow sweets | 5 blue sweets.(i) Calculate the probability that a randomly picked sweet from the sample is green. [2 marks](ii) If there are 600 sweets in total in the large bag, estimate how many are likely to be yellow, based on the sample results. 2marks
13
Suppose you roll a 6-sided die 12 times and get a ‘3’ three times.(i) What is the experimental probability of rolling a ‘3’? [1 mark](ii) What is the theoretical probability of rolling a ‘3’? [1 mark](iii) Why might these probabilities be different? What would you expect to happen if you roll the die 60, 600, or 6000 times? 2marks
14
Two coins are tossed at the same time. What is the probability of getting at least one head? 3marks
15
A bag contains 4 red balls and 5 blue balls. One ball is drawn and laid aside, and a second ball is drawn. Draw a tree diagram to represent the possible outcomes and probabilities. Use the tree diagram to answer the following questions.(i) What is the probability of drawing a red ball and then a blue ball? [2 marks](ii) What is the probability of drawing 2 blue balls? 2marks
16
A box contains 4 balls numbered 1 to 4. Record a sample space using a tree diagram for the following experiments:(i) A ball is drawn, and the number is recorded. Then the ball is returned, and a second ball is drawn and recorded. [2 marks](ii) A ball is drawn and recorded. Without replacing the first ball, the experimenter draws and records a second ball. 2marks
17
A student takes a multiple-choice test with 3 questions, each having 4 options (A, B, C, D), with only one correct answer. What is the probability that the student guesses and gets exactly 2 answers correct? 3marks
18
A basket contains 4 red balls and 5 blue balls. One ball is drawn and laid aside, and a second ball is drawn.(i) What is the probability of drawing a red ball and then a blue ball? [2 marks](ii) What is the probability of drawing 2 blue balls? 2marks
19
Three coins are tossed, and the number of heads is recorded. Which of the following lists is a sample space for this experiment? Why do the other lists fail to qualify as a sample space? {0, 1, 2, 3} 3marks
20
Suppose you drop a die at random on the rectangular region shown. What is the probability that it will land inside the circle with a diameter of 1 m? 3marks

Answers

1
The sample space is {Head, Tail}. There is 1 favourable outcome (Head). P(Head) = Number of favourable outcomes / Total number of outcomes = 1/2.
2
The sample space is {1, 2, 3, 4, 5, 6}. The total number of possible outcomes is 6.
3
Equally likely outcomes are those where each outcome has the same probability of occurring.(i) Not equally likely: The car starting or not starting depends on many factors and is not inherently 50/50.(ii) Equally likely: A fair coin toss has two outcomes, Heads and Tails, each with a probability of 1/2.
4
Total number of balls = 3 (red) + 2 (blue) + 1 (green) = 6.Number of green balls = 1.Probability of picking a green ball = 1/6.Probability of not picking a green ball = 1 - P(Green) = 1 - 1/6 = 5/6.
5
Let R be Red shirt, B be Blue shirt. Let J be Jeans, K be Khakis, S be Shorts.
Shirt Pants Outfit
R J RJ
R K RK
R S RS
B J BJ
B K BK
B S BS
There are 6 possible combinations.
6. (i) Let S represent Snacks and D represent Drinks.
Snacks: Samosa (Sa), Pakora (P), Bhaji (B)
Drinks: Chai (C), Lassi (L)
Sample space: {(Sa, C), (Sa, L), (P, C), (P, L), (B, C), (B, L)}. There are 6 combinations.
(ii) Event ‘Selecting Samosa as a snack.’ = {(Sa, C), (Sa, L)}.
7. Sample space for tossing three coins: {HHH, HHT, HTH, THH, HTT, THT, TTH, TTT}. Total 8 outcomes.
Favourable outcomes (exactly two heads): {HHT, HTH, THH}. There are 3 favourable outcomes.
Probability = 3/8.
8. The word ‘PEACE’ has 5 letters: P, E, A, C, E.
Total number of letters = 5.
(i) Favourable outcomes (P, E, or C): P, E, A, C, E. The letters are P, E, A, C, E. The unique letters are P, E, A, C. The favourable outcomes are P, E, A, C, E.
The letters are P, E, A, C, E. So there are 5 letters.
The letters that are P, E, or C are: P, E, C, E. There are 4 such letters.
Probability (P, E, or C) = 4/5.
(ii) Number of E's = 2. Probability of picking an E = 2/5.
Probability of not picking an E = 1 - P(E) = 1 - 2/5 = 3/5.
9. Total number of cases = 1000.
(i) Number of tyres lasting less than 4000 km = 20.
Probability = 20/1000 = 2/100 = 1/50.
(ii) Number of tyres lasting between 4000 and 14000 km = (Number of tyres from 4001 to 9000) + (Number of tyres from 9001 to 14000) = 210 + 325 = 535.
Probability = 535/1000 = 107/200.
(iii) Number of tyres lasting more than 14000 km = 445.
Probability = 445/1000 = 89/200.
10. Total number of outcomes = 8.
(i) The outcome is 8. P(8) = 1/8.
(ii) Odd numbers are 1, 3, 5, 7. There are 4 odd numbers. P(Odd number) = 4/8 = 1/2.
(iii) Numbers greater than 2 are 3, 4, 5, 6, 7, 8. There are 6 such numbers. P(Number > 2) = 6/8 = 3/4.
(iv) Numbers less than 9 are 1, 2, 3, 4, 5, 6, 7, 8. There are 8 such numbers. P(Number < 9) = 8/8 = 1.
(v) Multiples of 3 are 3, 6. There are 2 such numbers. P(Multiple of 3) = 2/8 = 1/4.
11. Total number of students in the sample = 40.
(i) Number of students who prefer the Arts Club = 11.
Probability (Arts Club) = 11/40.
(ii) Total number of students in the school = 800.
Estimated number of students who prefer the Sports Club = (Number of students in sample who prefer Sports Club / Total students in sample) * Total students in school
= (9/40) * 800 = 9 * 20 = 180 students.
12. Total number of sweets in the sample = 30.
(i) Number of green sweets = 8.
Probability (Green) = 8/30 = 4/15.
(ii) Total number of sweets in the bag = 600.
Number of yellow sweets in the sample = 7.
Estimated number of yellow sweets in the bag = (Number of yellow sweets in sample / Total sweets in sample) * Total sweets in bag
= (7/30) * 600 = 7 * 20 = 140 sweets.
13. (i) Number of times a ‘3’ was rolled = 3.
Total number of trials = 12.
Experimental probability of rolling a ‘3’ = 3/12 = 1/4.
(ii) Theoretical probability of rolling a ‘3’ on a fair 6-sided die = 1/6.
(iii) These probabilities might be different because the number of trials (12) is relatively small. With a small number of trials, experimental results can deviate from theoretical probabilities due to random chance.
As the number of trials increases (60, 600, 6000), the experimental probability would be expected to get closer and closer to the theoretical probability of 1/6, according to the Law of Large Numbers.
14. Sample space for tossing two coins: {HH, HT, TH, TT}. Total 4 outcomes.
Favourable outcomes (at least one head): {HH, HT, TH}. There are 3 favourable outcomes.
Probability (at least one head) = 3/4.
15. (i) Tree Diagram:
Basket A (Apple, Orange, Orange)
Basket B (Banana, Mango)
Possible outcomes:
A1 B1 (Apple, Banana)
A1 B2 (Apple, Mango)
A2 B1 (Orange, Banana)
A2 B2 (Orange, Mango)
A3 B1 (Orange, Banana)
A3 B2 (Orange, Mango)
Sample space: {(Apple, Banana), (Apple, Mango), (Orange, Banana), (Orange, Mango)}. There are 6 possible pairs.
(ii) List of pairs: {(Apple, Banana), (Apple, Mango), (Orange, Banana), (Orange, Mango)}. There are 6 distinct pairs. Note: (Orange, Banana) appears twice, and (Orange, Mango) appears twice due to two oranges in Basket A.
(iii) Probability of picking one apple and one banana:
There is 1 way to pick an apple from A and 1 way to pick a banana from B. So, 1 favourable outcome (Apple, Banana).
Total possible outcomes = 2 (from A) * 2 (from B) = 4 if we considered types of fruit.
However, if we consider individual fruits:
Basket A: A1 (Apple), A2 (Orange), A3 (Orange)
Basket B: B1 (Banana), B2 (Mango)
Possible pairs: (A1, B1), (A1, B2), (A2, B1), (A2, B2), (A3, B1), (A3, B2). Total 6 outcomes.
Favourable outcome (Apple, Banana): (A1, B1). There is 1 such outcome.
Probability (Apple and Banana) = 1/6.

Correction for question 15 based on expected interpretation for a 2-mark question for each part:
Let's assume the question means picking one fruit from each basket.
Basket A has 1 Apple and 2 Oranges (Total 3 fruits).
Basket B has 1 Banana and 1 Mango (Total 2 fruits).
(i) Tree Diagram:
From Basket A: Apple (1/3), Orange (2/3)
From Basket B: Banana (1/2), Mango (1/2)
Outcomes:
Apple and Banana: P = (1/3) * (1/2) = 1/6
Apple and Mango: P = (1/3) * (1/2) = 1/6
Orange and Banana: P = (2/3) * (1/2) = 2/6 = 1/3
Orange and Mango: P = (2/3) * (1/2) = 2/6 = 1/3
(ii) Sample Space: {(Apple, Banana), (Apple, Mango), (Orange, Banana), (Orange, Mango)}. There are 4 distinct types of outcomes.
(iii) Probability of picking one apple and one banana = 1/6.

16
This question seems to be a duplicate of question 15, or there's a misunderstanding of the context. Assuming it's asking about the sample space size based on the description of the experiments.

(i) A ball is drawn, recorded, returned, and a second ball is drawn.
Let the numbers be 1, 2, 3, 4.
Possible outcomes for the first draw: {1, 2, 3, 4} (4 outcomes)
Possible outcomes for the second draw: {1, 2, 3, 4} (4 outcomes)
Sample space size = 4 * 4 = 16.
Tree diagram would branch out 4 times from the start, and then each of those would branch out 4 times again.

(ii) A ball is drawn, recorded. Without replacing, a second ball is drawn.
Possible outcomes for the first draw: {1, 2, 3, 4} (4 outcomes)
If the first ball drawn was '1', the second draw can be from {2, 3, 4} (3 outcomes).
This applies for each of the first 4 draws.
Sample space size = 4 * 3 = 12.
(Example: (1,2), (1,3), (1,4), (2,1), (2,3), (2,4), etc.)
Tree diagram would branch out 4 times from the start, and then each of those would branch out 3 times.

17
For each question, there are 4 options, and only 1 is correct.Probability of guessing correctly = 1/4.Probability of guessing incorrectly = 3/4.We need to find the probability of getting exactly 2 answers correct out of 3. This is a binomial probability problem.Number of trials (questions) n = 3.Number of successes (correct answers) k = 2.Probability of success p = 1/4.Probability of failure q = 3/4.The formula for binomial probability is P(X=k)=C(n,k)∗pk∗q(n−k)C(3,2)=3!/(2!∗(3−2)!)=3!/(2!∗1!)=3.
P(exactly 2 correct)=C(3,2)∗(1/4)2∗(3/4)(3−2)=3∗(1/16)∗(3/4)=3∗3/(16∗4)
=9/64.
18
This is a duplicate of question 15, part (i) and (ii), just with different wording. Assuming it's a separate question intended to test the same concept.Basket A has 4 red balls, 5 blue balls. Total 9 balls.Basket B (after 1 ball is drawn and laid aside).

(i) Probability of drawing a red ball first, then a blue ball.
P(1st Red) = 4/9.
After drawing one red ball, there are 3 red balls and 5 blue balls left (total 8 balls).
P(2nd Blue | 1st Red) = 5/8.
P(1st Red and 2nd Blue) = P(1st Red) * P(2nd Blue | 1st Red) = (4/9) * (5/8) = 20/72 = 5/18.

(ii) Probability of drawing 2 blue balls.
P(1st Blue) = 5/9.
After drawing one blue ball, there are 4 red balls and 4 blue balls left (total 8 balls).
P(2nd Blue | 1st Blue) = 4/8 = 1/2.
P(1st Blue and 2nd Blue) = P(1st Blue) * P(2nd Blue | 1st Blue) = (5/9) * (4/8) = 20/72 = 5/18.

19
A sample space must contain all possible outcomes and no outcome should be listed more than once.Experiment: Three coins are tossed, and the number of heads is recorded.Possible outcomes:
  • No heads (TTT)
  • One head (HTT, THT, TTH)
  • Two heads (HHT, HTH, THH)
  • Three heads (HHH)
    The number of heads can be 0, 1, 2, or 3.
    List (iv) {0, 1, 2, 3} is the correct sample space because it lists all possible numbers of heads and each value represents a distinct outcome.
  • List (i) {1, 2, 3} fails because it omits the possibility of getting 0 heads.
  • List (ii) {0, 1, 2} fails because it omits the possibility of getting 3 heads.
  • List (iii) {0, 1, 2, 3, 4} fails because it includes 4, which is impossible when tossing only three coins.
20
This is a problem of geometric probability. The probability of landing in a specific region is the ratio of the area of that region to the area of the total region.The rectangular region has dimensions 2 m by (let's assume the other dimension from the diagram which seems to be also 2m, making it a square region of 2m x 2m). If it's 2m width and let's assume height is also 2m.Area of the rectangular region = Length × Width = 2 m × 2 m = 4 m².The circle has a diameter of 1 m, so its radius is 0.5 m.Area of the circle = π∗r2=π∗(0.5m)2=π∗0.25m2=0.25πm2.The probability that the die will land inside the circle is:P(inside circle) = Area of circle / Area of rectangleP(inside circle) = (0.25πm2)/(4m2)P(inside circle) = 0.25π/4=π/16.Using π≈3.14:P(inside circle) ≈3.14/16≈0.19625.

Self-correction: The diagram shows a rectangle with one side labelled '2 m'. The other side is not explicitly labelled but appears to be the same length as the diameter of the circle inside, which is 1 m. So, let's assume the rectangle is 2 m by 1 m.
Area of the rectangular region = Length × Width = 2 m × 1 m = 2 m².
The circle has a diameter of 1 m, so its radius is 0.5 m.
Area of the circle = π∗r2=π∗(0.5m)2=π∗0.25m2=0.25πm2.
The probability that the die will land inside the circle is:
P(inside circle) = Area of circle / Area of rectangle
P(inside circle) = (0.25πm2)/(2m2)
P(inside circle) = 0.25π/2=π/8.
Using π≈3.14:
P(inside circle) ≈3.14/8≈0.3925.

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