Chapter 7: The Mathematics of Maybe: Introduction to ProbabilityCBSE Class 9 Maths100% Free

Probability Class 9 CBSE Important Questions with Answers

The 13 questions below are Probability Class 9 CBSE important questions, each with a full step-by-step answer: extra questions beyond the textbook exercises, covering 5 topics of CBSE Class 9 Maths in the question formats used in the exam.

By The Classmate AI Editorial Team

Reviewed by Classmate AI Team · 17 October 2026

Last updated 25 October 2026

13
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Topics
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Key concepts
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Quick answer

CBSE Class 9 The Mathematics of Maybe (Introduction to Probability) questions cover the probability scale from 000 to 111, experimental probability from data and repeated trials, theoretical probability from a sample space of equally likely outcomes, the rule P(not A)=1−P(A)P(\text{not }A)=1-P(A)P(not A)=1-P(A), two coins and two dice, and tree diagrams and tables for listing outcomes.

About The Mathematics of Maybe: Introduction to Probability

Probability measures how likely an event is, on a scale from 000 (impossible) to 111 (certain). This chapter of Ganita Manjari finds probability in two ways: experimentally, from the results of repeated trials or collected data, and theoretically, by listing the sample space of equally likely outcomes and counting those in the event. Tree diagrams and tables help list outcomes when coins are tossed or dice are rolled together.

The probability scale from $0$ to $1$Experimental probability from dataTheoretical probability: sample space and eventsComplementary events: $P(\text{not }A)=1-P(A)$Tree diagrams and tables for coins and dice

Key concepts & formulas

Empirical probability

P(E)=number of trials in which E happenedtotal number of trialsP(E)=\dfrac{\text{number of trials in which }E\text{ happened}}{\text{total number of trials}}P(E)=(number of trials in which E happened)/(total number of trials). It is found from actual experiments.

Theoretical probability

If all outcomes in the sample space are equally likely, P(E)=number of outcomes in Etotal number of outcomesP(E)=\dfrac{\text{number of outcomes in }E}{\text{total number of outcomes}}P(E)=(number of outcomes in E)/(total number of outcomes). E.g. for one die, P(even)=36=12P(\text{even})=\dfrac36=\dfrac12P(even)=3/6=1/2.

Range of probability

For any event EEE, 0≤P(E)≤10\le P(E)\le10≤ P(E)≤1. P(E)=0P(E)=0P(E)=0 means impossible, P(E)=1P(E)=1P(E)=1 means certain.

Sum of probabilities

The probabilities of all possible outcomes of an experiment add up to 111. So P(not E)=1−P(E)P(\text{not }E)=1-P(E)P(not E)=1-P(E).

Tree diagrams and tables

A tree diagram branches once for each stage (a coin tossed 333 times gives 2×2×2=82\times2\times2=82×2×2=8 outcomes). A table lists all pairs for two dice (6×6=366\times6=366×6=36 outcomes).

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Probability Questions and Answers

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MCQs with answers (1 mark)

Q1MCQEasy1 mark

The probability of any event EEE always satisfies:

  1. (a)

    0≤P(E)≤10\le P(E)\le10≤ P(E)≤1

  2. (b)

    −1≤P(E)≤1-1\le P(E)\le1-1≤ P(E)≤1

  3. (c)

    P(E)>1P(E)>1P(E)>1

  4. (d)

    P(E)<0P(E)<0P(E)<0

Show model answer

Answer: (a) 0≤P(E)≤10\le P(E)\le10≤ P(E)≤1.

A probability is a fraction of favourable to total trials, so it can never be negative nor exceed 111.

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Q2MCQEasy1 mark

A fair die is rolled once. The theoretical probability of getting a prime number is:

  1. (a)

    12\dfrac121/2

  2. (b)

    13\dfrac131/3

  3. (c)

    23\dfrac232/3

  4. (d)

    16\dfrac161/6

Show model answer

Answer: (a) 12\dfrac121/2.

The sample space is {1,2,3,4,5,6}\{1,2,3,4,5,6\}{1,2,3,4,5,6}, with 666 equally likely outcomes. The primes are 2,3,52,3,52,3,5, so P(prime)=36=12P(\text{prime})=\dfrac{3}{6}=\dfrac12P(prime)=3/6=1/2. (Remember that 111 is not a prime number.)

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Q3MCQModerate1 mark

A die is rolled 200200200 times and a six appears 303030 times. The experimental probability of NOT getting a six is:

  1. (a)

    0.150.150.15

  2. (b)

    0.850.850.85

  3. (c)

    0.300.300.30

  4. (d)

    0.700.700.70

Show model answer

Answer: (b) 0.850.850.85.

P(six)=30200=0.15P(\text{six})=\dfrac{30}{200}=0.15P(six)=30/200=0.15, so P(not six)=1−0.15=0.85P(\text{not six})=1-0.15=0.85P(not six)=1-0.15=0.85.

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Q4MCQHOTS1 mark

In a bag experiment a ball is drawn and replaced 500500500 times. Red comes 220220220 times and green 130130130 times; the rest are blue. The experimental probability of drawing a blue ball is:

  1. (a)

    0.300.300.30

  2. (b)

    0.440.440.44

  3. (c)

    0.260.260.26

  4. (d)

    0.150.150.15

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Answer: (a) 0.300.300.30.

Blue draws =500−220−130=150=500-220-130=150=500-220-130=150. So P(blue)=150500=0.30P(\text{blue})=\dfrac{150}{500}=0.30P(blue)=150/500=0.30.

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Assertion–Reason questions (1 mark)

Q5Assertion–ReasonModerate1 mark

Assertion (A): The experimental probability of an impossible event is 000.

Reason (R): An impossible event never occurs in any trial, so its number of favourable trials is 000.

  1. (a)

    Both A and R are true and R is the correct explanation of A

  2. (b)

    Both A and R are true but R is not the correct explanation of A

  3. (c)

    A is true but R is false

  4. (d)

    A is false but R is true

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Answer: (a) Both A and R are true and R is the correct explanation of A. With 000 favourable trials, P(E)=0total=0P(E)=\dfrac{0}{\text{total}}=0P(E)=0/total=0.

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Very short answer questions (2 marks)

Q6Very ShortEasy2 marks

Two fair coins are tossed together. Write the sample space and find the probability of getting (i) exactly one head, (ii) no head.

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Sample space ={HH, HT, TH, TT}=\{HH,\ HT,\ TH,\ TT\}={HH, HT, TH, TT}, with 444 equally likely outcomes. (HTHTHT and THTHTH are different outcomes: the first coin shows heads in one and tails in the other.)

(i) Exactly one head: HT, THHT,\ THHT, TH, so P=24=12P=\dfrac24=\dfrac12P=2/4=1/2.

(ii) No head: TTTTTT only, so P=14P=\dfrac14P=1/4.

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Q7Very ShortModerate2 marks

A card is drawn (and replaced) from a well-shuffled deck 260260260 times; a spade appears 656565 times. Find the experimental probability of drawing a spade, and state whether it is close to the theoretical value 14\frac141/4.

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P(spade)=65260=14=0.25P(\text{spade})=\dfrac{65}{260}=\dfrac{1}{4}=0.25P(spade)=65/260=1/4=0.25.

This equals the theoretical probability 14\dfrac141/4, so the experimental result matches the expected value closely.

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Short answer questions (3 marks)

Q8Short AnswerModerate3 marks

Two coins are tossed together 500500500 times with these results: two heads 135135135 times, one head 255255255 times, no head 110110110 times. Find the experimental probability of getting (i) two heads, (ii) at least one head. (iii) Compare your answer to (i) with the theoretical probability of two heads.

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Total trials =500=500=500.

(i) P(two heads)=135500=0.27P(\text{two heads})=\dfrac{135}{500}=0.27P(two heads)=135/500=0.27.

(ii) 'At least one head' means two heads or one head =135+255=390=135+255=390=135+255=390 times.

P(at least one head)=390500=0.78P(\text{at least one head})=\dfrac{390}{500}=0.78P(at least one head)=390/500=0.78.

(iii) Theoretically, two heads is 111 of the 444 equally likely outcomes {HH,HT,TH,TT}\{HH,HT,TH,TT\}{HH,HT,TH,TT}, so P=14=0.25P=\dfrac14=0.25P=1/4=0.25. The experimental value 0.270.270.27 is close to it; with more tosses the experimental probability usually gets closer to the theoretical one.

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Q9Short AnswerModerate3 marks

Two fair dice are rolled together. Using a table of all the outcomes, find the probability that (i) the sum is 777, (ii) both dice show the same number, (iii) the product of the two numbers is even.

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Each die has 666 faces, so there are 6×6=366\times6=366×6=36 equally likely outcomes. The table shows the sum for each pair:

+123456
1234567
2345678
3456789
45678910
567891011
6789101112

(i) Sum 777: (1,6),(2,5),(3,4),(4,3),(5,2),(6,1)(1,6),(2,5),(3,4),(4,3),(5,2),(6,1)(1,6),(2,5),(3,4),(4,3),(5,2),(6,1), i.e. 666 outcomes, so P=636=16P=\dfrac{6}{36}=\dfrac16P=6/36=1/6.

(ii) Same number (a doublet): (1,1),…,(6,6)(1,1),\dots,(6,6)(1,1),…,(6,6), i.e. 666 outcomes, so P=636=16P=\dfrac{6}{36}=\dfrac16P=6/36=1/6.

(iii) The product is odd only when both numbers are odd: 3×3=93\times3=93×3=9 outcomes, so P(odd)=936=14P(\text{odd})=\dfrac{9}{36}=\dfrac14P(odd)=9/36=1/4 and P(even)=1−14=34P(\text{even})=1-\dfrac14=\dfrac34P(even)=1-1/4=3/4.

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Q10Short AnswerModerate3 marks

Find the probability of each event and place it on the probability scale from 000 to 111:

(a) the Sun rises in the east tomorrow; (b) getting 777 on a single roll of a die; (c) getting a head when a fair coin is tossed; (d) a card drawn at random from a full deck of 525252 cards is not a heart.

Which of (c) and (d) is more likely?

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(a) Certain: P=1P=1P=1.

(b) Impossible (a die shows only 111 to 666): P=0P=0P=0.

(c) P=12P=\dfrac12P=1/2, in the middle of the scale (equally likely to happen or not).

(d) There are 131313 hearts, so P(heart)=1352=14P(\text{heart})=\dfrac{13}{52}=\dfrac14P(heart)=13/52=1/4 and P(not a heart)=1−14=34P(\text{not a heart})=1-\dfrac14=\dfrac34P(not a heart)=1-1/4=3/4.

On the scale: (b) at 000, (c) at 12\tfrac121/2, (d) at 34\tfrac343/4, (a) at 111. Since 34>12\tfrac34>\tfrac123/4>1/2, event (d) is more likely than (c).

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Long answer questions (5 marks)

Q11Long AnswerModerate5 marks

The record of a batter in 808080 balls faced is:

Runs on a ball012346
Number of balls282412484

Find the experimental probability that on a ball chosen at random the batter (i) scored a boundary (444 or 666), (ii) scored no run, (iii) scored a run (at least 111). Verify that all these probabilities are consistent.

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Total balls =80=80=80.

(i) Boundaries =4=4=4s and 666s =8+4=12=8+4=12=8+4=12 balls. P(boundary)=1280=320=0.15P(\text{boundary})=\dfrac{12}{80}=\dfrac{3}{20}=0.15P(boundary)=12/80=3/20=0.15.

(ii) No run (a dot ball) =28=28=28 balls. P(no run)=2880=720=0.35P(\text{no run})=\dfrac{28}{80}=\dfrac{7}{20}=0.35P(no run)=28/80=7/20=0.35.

(iii) Scored at least 111 run =80−28=52=80-28=52=80-28=52 balls. P(at least one run)=5280=1320=0.65P(\text{at least one run})=\dfrac{52}{80}=\dfrac{13}{20}=0.65P(at least one run)=52/80=13/20=0.65.

Check: P(no run)+P(at least one run)=0.35+0.65=1P(\text{no run})+P(\text{at least one run})=0.35+0.65=1P(no run)+P(at least one run)=0.35+0.65=1, as it must, since these two events cover all outcomes.

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Q12Long AnswerHOTS5 marks

A fair coin is tossed three times.

(a) Draw a tree diagram and list all the outcomes.

(b) Find the probability of getting exactly two heads.

(c) Find the probability of getting at least one head.

(d) Find the probability that all three tosses show the same face.

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(a) Each toss branches into H and T:

CBSE Class 9 Maths — The Mathematics of Maybe: Introduction to Probability: A fair coin is tossed three times. (a) Draw a tree diagram and list all the outcomes. (b) Find the proba

There are 2×2×2=82\times2\times2=82×2×2=8 equally likely outcomes: HHH,HHT,HTH,HTT,THH,THT,TTH,TTTHHH, HHT, HTH, HTT, THH, THT, TTH, TTTHHH, HHT, HTH, HTT, THH, THT, TTH, TTT.

(b) Exactly two heads: HHT,HTH,THHHHT, HTH, THHHHT, HTH, THH, so P=38P=\dfrac38P=3/8.

(c) 'At least one head' is the complement of 'no head' (TTTTTTTTT only): P=1−18=78P=1-\dfrac18=\dfrac78P=1-1/8=7/8.

(d) All the same: HHHHHHHHH or TTTTTTTTT, so P=28=14P=\dfrac28=\dfrac14P=2/8=1/4.

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Case study questions (4 marks)

Q13Case-basedModerate4 marks

A class of 404040 students was surveyed about their favourite sport:

SportCricketFootballHockeyBadminton
Students161068

One student is chosen at random.

(i) Find the probability that the student likes cricket.
(ii) Find the probability that the student likes football or hockey.
(iii) Find the probability that the student does NOT like badminton.
(iv) Verify that the probabilities for the four sports add up to 111.

Show model answer

Total students =40=40=40.

(i) P(cricket)=1640=25=0.4P(\text{cricket})=\dfrac{16}{40}=\dfrac{2}{5}=0.4P(cricket)=16/40=2/5=0.4.

(ii) Football or hockey =10+6=16=10+6=16=10+6=16. P=1640=0.4P=\dfrac{16}{40}=0.4P=16/40=0.4.

(iii) Not badminton =40−8=32=40-8=32=40-8=32. P=3240=45=0.8P=\dfrac{32}{40}=\dfrac{4}{5}=0.8P=32/40=4/5=0.8.

(iv) 1640+1040+640+840=4040=1\dfrac{16}{40}+\dfrac{10}{40}+\dfrac{6}{40}+\dfrac{8}{40}=\dfrac{40}{40}=116/40+10/40+6/40+8/40=40/40=1. The probabilities sum to 111, as required.

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Continues in Class 10: Probability Class 10 CBSE questions

All CBSE Class 9 Maths Chapters

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Frequently asked questions

  • What are the important questions in The Mathematics of Maybe Class 9?
    The probability scale from 000 to 111, experimental probability from repeated trials, theoretical probability from a sample space, P(not A)=1−P(A)P(\text{not }A)=1-P(A)P(not A)=1-P(A), two coins and two dice, and tree diagrams. This page has 13 such questions with answers, including a class sports-survey case study.
  • What is the difference between experimental and theoretical probability?
    Experimental probability comes from what actually happened: if a six appears 303030 times in 200200200 rolls, P(six)=30200P(\text{six})=\tfrac{30}{200}P(six)=30/200. Theoretical probability comes from equally likely outcomes: one die gives P(six)=16P(\text{six})=\tfrac16P(six)=1/6. With more trials, the two values usually get closer.
  • How do you find the probability of an event not happening?
    Subtract from 111: P(not E)=1−P(E)P(\text{not }E)=1-P(E)P(not E)=1-P(E), because all outcomes together have probability 111. If a six came up 303030 times in 200200200 rolls, the experimental probability of not getting a six is 1−0.15=0.851-0.15=0.851-0.15=0.85.
  • How many outcomes are there when a coin is tossed three times?
    Eight: a tree diagram branches into 222 at each toss, giving 2×2×2=82\times2\times2=82×2×2=8 outcomes from HHH to TTT. Exactly two heads happens in 333 of them (HHT, HTH, THH), so its probability is 38\tfrac383/8.
  • Where does probability come in the new CBSE Class 9 Maths book?
    The Mathematics of Maybe is Chapter 7 of Ganita Manjari, after Measuring Space (Chapter 6) and before Predicting What Comes Next (Chapter 8). In Class 10 the topic returns as Probability, Chapter 14, which also has an important-questions page here.
  • How do I avoid errors when listing outcomes in probability?
    Draw a tree for repeated coin tosses and a 6×66\times66×6 table for two dice, so no outcome is missed or counted twice. Check that your outcome count matches 2n2^n2^n or 363636 before working out any probability.
  • Can I download Class 9 Mathematics of Maybe questions?
    Yes. Enter your email in the free PDF box on this page to open all 13 introductory probability questions with answers as a printable worksheet, then save it as a PDF.

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