CBSE Class 10 Mathematics Probability Assignment Set E

Read and download free pdf of CBSE Class 10 Mathematics Probability Assignment Set E. Get printable school Assignments for Class 10 Mathematics. Class 10 students should practise questions and answers given here for Chapter 14 Probability Mathematics in Class 10 which will help them to strengthen their understanding of all important topics. Students should also download free pdf of Printable Worksheets for Class 10 Mathematics prepared as per the latest books and syllabus issued by NCERT, CBSE, KVS and do problems daily to score better marks in tests and examinations

Assignment for Class 10 Mathematics Chapter 14 Probability

Class 10 Mathematics students should refer to the following printable assignment in Pdf for Chapter 14 Probability in Class 10. This test paper with questions and answers for Class 10 Mathematics will be very useful for exams and help you to score good marks

Chapter 14 Probability Class 10 Mathematics Assignment

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

Question. A bag contains 3 red balls and 5 black balls. A ball is drawn at random frm the bag. What is the probability that the ball drawn is (i) red? (ii) not red? (CBSE 2012)
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.

 
LEVEl-1
 
1. The probability of getting bad egg in a lot of 400 is 0.035.Then find the no. of bad eggs in the lot. 
2. Write the probability of a sure event. 
3. What is the probability of an impossible event. 
4. When a dice is thrown, then find the probability of getting an odd number less than 3. 
5. A girl calculates that the probability of her winning the third prize in a lottery is 0.08.If 6000 tickets are sold, how many ticket has she brought. 
6. What is probability that a non-leap year selected at random will contain 53 Sundays. 
7. A bag contains 40 balls out of which some are red, some are blue and remaining are black. If the probability of drawing a red ball is 11/20 and that of black ball is  1/5 , then what is the no. of black ball. 
8. Two coins are tossed simultaneously. Find the probability of getting exactly one head. 
9. A card is drawn from a well suffled deck of 52 cards. Find the probability of getting an ace. 
10. In a lottery, there are 10 prizes and 25 blanks. Find the probability of getting a prize.
 
Please click the link below to downloadCBSE Class 10 Mathematics Probability Assignment Set E
 

CBSE Class 10 Mathematics Chapter 14 Probability Assignment

We hope you liked the above assignment for Chapter 14 Probability which has been designed as per the latest syllabus for Class 10 Mathematics released by CBSE. Students of Class 10 should download and practice the above Assignments for Class 10 Mathematics regularly. We have provided all types of questions like MCQs, short answer questions, objective questions and long answer questions in the Class 10 Mathematics practice sheet in Pdf. All questions have been designed for Mathematics by looking into the pattern of problems asked in previous year examinations. You can download all Revision notes for Class 10 Mathematics also absolutely free of cost. Lot of MCQ questions for Class 10 Mathematics have also been given in the worksheets and assignments for regular use. All study material for Class 10 Mathematics students have been given on studiestoday. We have also provided lot of Worksheets for Class 10 Mathematics which you can use to further make your self stronger in Mathematics.

What are benefits of doing Assignment for CBSE Class 10 Mathematics Chapter 14 Probability?

a. Score higher marks: Regular practice of Mathematics Class 10 Assignments for chapter Chapter 14 Probability will help to improve understanding and help in solving exam questions correctly.
b. As per CBSE pattern: All questions given above follow the latest Class 10 Mathematics Sample Papers so that students can prepare as per latest exam pattern.
c. Understand different question types: These assignments include MCQ Questions for Class 10 Mathematics with answers relating to Chapter 14 Probability, short answers, long answers, and also case studies.
d. Improve time management: Daily solving questions from Chapter 14 Probability within a set time will improve your speed and accuracy.
e. Boost confidence: Practicing multiple assignments and Class 10 Mathematics mock tests for Chapter 14 Probability reduces exam stress.

How to Solve CBSE Class 10 Mathematics Chapter 14 Probability Assignment effectively?

a. Start with Class 10 NCERT and syllabus topics: Always read the chapter carefully before attempting Assignment questions for Class 10 Mathematics Chapter 14 Probability.
b. Solve without checking answers: You should first attempt the assignment questions on Chapter 14 Probability yourself and then compare with provided solutions.
c. Use Class 10 worksheets and revision notes: Refer to NCERT Class 10 Mathematics worksheets, sample papers, and mock tests for extra practice.
d. Revise tricky topics: Focus on difficult concepts by solving Class 10 Mathematics MCQ Test.
e. Maintain notebook: Note down mistakes in Chapter 14 Probability assignment and read them in Revision notes for Class 10 Mathematics

How to practice CBSE Class 10 Mathematics Chapter 14 Probability Assignment for best results?

a. Solve assignments daily: Regular practice of Chapter 14 Probability questions will strengthen problem solving skills.
b.Use Class 10 study materials: Combine NCERT book for Class 10 Mathematics, mock tests, sample papers, and worksheets to get a complete preparation experience.
c. Set a timer: Practicing Class 10 Mathematics Chapter 14 Probability assignment under timed conditions improves speed and accuracy.

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How many topics are covered in Chapter 14 Probability Mathematics assignments for Class 10

All topics given in Chapter 14 Probability Mathematics Class 10 Book for the current academic year have been covered in the given assignment

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