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Access comprehensive school assignments for Chapter 14 Probability using the CBSE Class 10 Mathematics Probability Assignment Set 05. Designed to align with the 2026-27 CBSE academic guidelines, these practice sets help Class 10 Mathematics students reinforce core concepts and improve their problem-solving accuracy.
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Access the complete assignment PDF for Class 10 Mathematics below. Regular practice with these targeted academic tasks builds familiarity with standard question patterns and helps secure higher marks in final school evaluations.
Question. Complete the following statements:
(i) Probability of an event E + Probability of the event ‘not E’ = .................. .
(ii) The probability of an event that cannot happen is ............... . Such an event is called ................ .
(iii) The probability of an event that is certain to happen is .............. . Such an event is called ................ .
(iv) The sum of the probabilities of all the elementary events of an experiment is .............. .
(v) The probability of an event is greater than or equal to .................. and less than or equal to ................ .
Answer: (i) Probability of an event E + Probability of the event not E = 1.
(ii) The probability of an event that cannot happen is 0. Such an event is called impossible event.
(iii) The probability of an event that is certain to happen is 1. Such an event is called sure or certain event.
(iv) The sum of the probabilities of all the elementary events of an experiment is 1.
(v) The probability of an event is greater than or equal to 0 and less than or equal to 1.
Question. Which of the following experiments have equally likely outcomes? Explain.
(i) A driver attempts to start a car. The car starts or does not start.
(ii) A player attempts to shoot a basketball. She/he shoots or misses the shot.
(iii) A trial is made to answer a true-false question. The answer is right or wrong.
(iv) A baby is born. It is a boy or a girl.
Answer: (i) Since, the car may or may not start, thus the outcomes are not equally likely.
(ii) The player may shoot or miss the shot.
∴ The outcomes are not equally likely.
(iii) In advance it is known that the answer is to be either right or wrong.
∴ The outcomes right or wrong are equally likely to occur.
(iv) In advance it is known the newly born baby has to be either a boy or a girl.
∴ The outcomes either a boy or a girl are equally likely to occur.
Question. Why is tossing a coin considered to be a fair way of deciding which team should get the ball at the beginning of a football game?
Sol. Since on tossing a coin, the outcomes ‘head’ and ‘tail’ are equally likely, the result of tossing a coin is completely unpredictable and so it is a fair way.
Question. Which of the following cannot be the probability of an event?
(A) 2/3 (B) −1.5 (C) 15% (D) 0.7
Answer: Since, the probability of an event cannot be negative,
∴ (B) −1.5 cannot be the probability of an event.
Question. If P(E) = 0.05, what is the probability of ‘not E’?
Answer: ⸪ P(E) + P(not E) = 1
∴ 0.05 + P(not E) = 1 ⇒ P(not E) = 1 − 0.05
= 0.95
Thus, probability of ‘not E’ = 0.95.
Question. A bag contains lemon flavoured candies only. Malini takes out one candy without looking into the bag. What is the probability that she takes out
(i) an orange flavoured candy?
(ii) a lemon flavoured candy?
Answer: (i) Since, there are lemon flavoured candies only in the bag,
∴ Taking out any orange flavoured candy is not possible.
⇒ Probability of taking out an orange flavoured candy = 0.
(ii) Also, probability of taking out a lemon flavoured candy = 1.
Question. It is given that in a group of 3 students, the probability of 2 students not having the same birthday is 0.992. What is the probability that the 2 students have the same birthday?
Answer: ∴ Let the probability of 2 students having same birthday = P(SB)
And the probability of 2 students not having the same birthday = P(nSB)
∴ P(nSB) + P(nSB) = 1
⇒ P(SB) + 0.992 = 1
⇒ P(SB) = 1 − 0.992 = 0.008
Answer: Total number of balls = 3 + 5 = 8
∴ Number of all possible outcomes = 8
(i) For red balls:
∴ There are 3 red balls.
∴ Number of favourable outcomes = 3
∴ PRed = Number of favourable outcomes/Number of all possible outcomes
= 3/8
(ii) For not red balls:
Probability of the ball drawn which is not red
= 1 - (3/8) = 8 - 3/8 = 5/8
Question. A piggy bank contains hundred 50p coins, fifty Re 1 coins, twenty ₹ 2 coins and ten ₹ 5 coins.
If it is equally likely that one of the coins will fall out when the bank is turned upside down, what
is the probability that the coin (i) will be a 50p coin? and (ii) will not be ₹ 5 coin?
Answer: Number of:
50 p coins = 100
Re 1 coins = 50
₹ 2 coins = 20
₹ 5 coins = 10
Total number of coins = 100 + 50 + 20 + 5 = 180
(i) For a 50 p coin:
Favourable events = 100
∴ P(50 p) = 100/180 = 5/9
(ii) For not a ₹ 5 coin:
ä Number of ₹ 5 coins = 10
∴ Number of ‘not ₹ 5’ coins = 180 − 10 = 170
⇒ Favourable outcomes = 170
∴ P(not 5 rupee coin) = 170/180 = 17/18
Question. 12 defective pens are accidentally mixed with 132 good ones. It is not possible to just look at a pen and tell whether or not it is defective. One pen is taken out at random from this lot. Determine the probability that the pen taken out is a good one.
Answer: We have
Number of good pens = 132
Number of defective pens = 12
∴ Total number of pens = 132 + 12 = 144
For good pens:
ä There are 132 good pens
∴ Number of favourable outcomes = 132
⇒ P(good pens) = Number of favourable outcomes/Total possible outcomes
= 132/144 = 11/12
Question. (i) A lot of 20 bulbs contain 4 defective ones. One bulb is drawn at random from the lot. What is the probability that this bulb is defective?
(ii) Suppose the bulb drawn in (i) is not defective and is not replaced. Now one bulb is drawn at random from the rest. What is the probability that this bulb is not defective?
Answer: Since, there are 20 bulbs in the lot.
∴ Total number of possible outcomes = 20
(i) ⸪ Number defective bulbs = 4
i.e., Favourable outcomes = 4
⇒ P(defective bulb) = Number of favourable outcomes/Total number of outcomes
= 4/20 = 1/5
(ii) ⸪ The bulb drawn above is not included in the lot.
∴ Remaining number of bulbs = 20 − 1 = 19.
⇒ Total number of possible outcomes = 19.
⸪ Number of bulbs which are not defective = 19 − 4 = 15
⇒ Favourable number of outcomes = 15
∴ P(not defective bulb) = Number of favourable outcomes/Total number of possible outcomes
= 15/19
Question. A lot consists of 144 ball pens of which 20 are defective and the others are good. Nuri will buy a pen if it is good, but will not buy if it is defective. The shopkeeper draws one pen at random and gives it to her. What is the probability that
(i) She will buy it?
(ii) She will not buy it?
Answer: Total number of ball pens = 144
⇒ All possible outcomes = 144
(i) Since there are 20 defective pens
∴ Number of good pens 144 − 20 = 124
⇒ Number of favourable outcomes = 124
∴ Probability that she will buy it
= 124/144 = 31/36
(ii) Probability that she will not buy it
= 1 − [Probability that she will buy it]
= 1 − (31/36)
= 36 − 31 / 36 = 5/36
Question. A game consists of tossing a one rupee coin 3 times and noting its outcome each time. Hanif wins if all the tosses give the same result i.e., three heads or three tails, and loses otherwise. Calculate the probability that Hanif will lose the game.
Answer: Let T denotes the tail and H denotes the head.
∴ All the possible outcomes are:
H H H, H H T, H T T, T T T, T T H, T H T, T T H, H T H
∴ Number of all possible outcomes = 8
Let the event that Hanif will lose the game be denoted by E.
∴ Favourable events are:
H H T, H T H, T H H, T H T , T T H, H T T
⇒ Number of favourable outcomes = 3
∴ P (E) = 6/8 = 3/4
Question. A die is thrown twice. What is the probability that
(i) 5 will not come up either time? (ii) 5 will come up at least once?
[Hint: Throwing a die twice and throwing two dice simultaneously are treated as the same experiment.]
Answer: Since, throwing a die twice or throwing two dice simultaneously is the same.
∴ All possible outcomes are:
(1, 1); (1, 2); (1, 3); (1, 4); (1, 5); (1, 6)
(2, 1); (2, 2); (2, 3); (2, 4); (2, 5); (2, 6)
(3, 1); (3, 2); (3, 3); (3, 4); (3, 5); (3, 6)
(4, 1); (4, 2); (4, 3); (4, 4); (4, 5); (4, 6)
(5, 1); (5, 2); (5, 3); (5, 4); (5, 5); (5, 6)
(6, 1); (6, 2); (6, 3); (6, 4); (6, 5); (6, 6)
∴ All possible outcomes = 36
(i) Let E be the event that 5 does not come up either time, then
The favourable outcomes are [36 − (5 + 6)] = 25
⇒ P(E) = 25/36
(ii) Let N be the event that 5 will come up at least once, then Number of favourable outcomes = 5 + 6 = 11
∴ P(N) = 11/36
Question. Which of the following arguments are correct and which are not correct? Give reasons for your answer.
(i) If two coins are tossed simultaneously there are three possible outcomes—two heads, two tails or one of each. Therefore, for each of these outcomes, the probability is 1/3.
(ii) If a die is thrown, there are two possible outcomes—an odd number or an even number.
Therefore, the probability of getting an odd number is 1/2.
Answer: (i) Not correct.
Because, the situation ‘one of each’ can result in two ways HT and TH.
∴ The probability = 1/4.
(ii) Correct.
Because the two outcomes are possible.
Free study material for Mathematics
Download Practice Assignments: Class 10 Mathematics Chapter 14 Probability
Class 10 Mathematics Chapter 14 Probability Printable Assignments
Access structured practice assignments for Chapter 14 Probability designed in alignment with the latest CBSE curriculum for Class 10 Mathematics. These printable sets cover objective and descriptive problem types to support thorough revision.
Maximize Exam Scores with Chapter Practice Sets
- Syllabus Compliance: Sets reflect current CBSE evaluation criteria and official marking frameworks.
- Multi-Format Practice: Includes varied problem types designed to deepen comprehension across all sub-topics.
- Time Management: Routine practice optimizes pacing to finish school examinations comfortably within schedule.
Steps to Complete Chapter 14 Probability Assignments Successfully
- Textbook Review: Always study the core NCERT book for Class 10 Mathematics prior to beginning the assignment.
- Independent Attempt: Solve Chapter 14 Probability questions on your own initially before cross-checking with expert solutions.
- Error Tracking: Record challenging concepts in a dedicated notebook and practice online MCQ tests for revision.
FAQs
You can download free PDF assignments for Class 10 Mathematics Chapter 14 Probability from StudiesToday.com. These practice sheets have been updated for the 2026-27 session covering all concepts from latest NCERT textbook.
Yes, our teachers have given solutions for all questions in the Class 10 Mathematics Chapter 14 Probability assignments. This will help you to understand step-by-step methodology to get full marks in school tests and exams.
Yes. These assignments are designed as per the latest CBSE syllabus for 2026. We have included huge variety of question formats such as MCQs, Case-study based questions and important diagram-based problems found in Chapter 14 Probability.
Practicing topicw wise assignments will help Class 10 students understand every sub-topic of Chapter 14 Probability. Daily practice will improve speed, accuracy and answering competency-based questions.
Yes, all printable assignments for Class 10 Mathematics Chapter 14 Probability are available for free download in mobile-friendly PDF format.