NCERT Solutions Class 9 Maths Chapter 15 Probability Ex 15.1

NCERT Solutions Class 9 Maths 
Chapter – 15 (Probability) 

The NCERT Solutions in English Language for Class 9 Mathematics Chapter – 15 Probability Exercise 15.1 has been provided here to help the students in solving the questions from this exercise. 

Exercise – 15.1

1. In a cricket match, a batswoman hits a boundary 6 times out of 30 balls she plays. Find the probability that she did not hit a boundary.

Answer –
Number of balls played = 30
Number of balls for which the batswoman hits boundary = 6
Thus, number of balls for which the batswoman does not hit a boundary = 30 – 6 = 24
Probability, P(E) = Number of instances of the event taking place / Total number of instances.
= 24/30
= 4/5

2. 1500 families with 2 children were selected randomly, and the following data were recorded:

Number of girls in a family 2 1 0
Number of families            475                     814                   211        

Compute the probability of a family, chosen at random, having
(i) 2 girls
(ii) 1 girl
(iii) No girl
Also check whether the sum of these probabilities is 1.

Answer –
Total number of families = 1500

(i) Number of families having 2 girls, P(2)= 475
Probability = Number of families having 2 girls/Total number of families
= 475/1500
= 19/60

(ii) Number of families having 1 girl, P(1) = 814
Probability = Number of families having 1 girl/Total number of families
= 814/1500
= 407/750

(iii) Number of families having 0 girls, P(0)= 211
Probability = Number of families having 0 girls/Total number of families
= 211/1500

Now, sum of all the three probabilities = P(2) + P(1) + P(0)
= 475/1500 + 814/1500 + 211/1500
= (475 + 814 + 211) / 1500
= 1500/1500
= 1
Yes, the sum of these probabilities is 1.

3. Refer to Example 5, Section 14.4, Chapter 14. Find the probability that a student of the class was born in August.

Answer –
NCERT Class 9 Solutions Maths
Total number of students in the class = 40
Number of students born in August = 6
Probability of students born in August = Number of students born in August / Total number of students in class

= 6/40
= 3/20

4. Three coins are tossed simultaneously 200 times with the following frequencies of different outcomes:

Outcome              3 heads            2 heads          1 head          No head      
Frequency 23 72 77 28

If the three coins are simultaneously tossed again, compute the probability of 2 heads coming up.

Answer –
Number of times 2 heads come up = 72
Total number of times the coins were tossed = 200
Probability of 2 heads outcomes = Number of 2 heads outcomes / Total number of tosses

= 72/200
= 9/25

5. An organisation selected 2400 families at random and surveyed them to determine a relationship between income level and the number of vehicles in a family. The information gathered is listed in the table below:

Monthly income
(in ₹)
Vehicles per family
0 1 2 Above 2
Less than 7000 10 160 25 0
7000-10000 0 305 27 2
10000-13000 1 535 29 1
13000-16000 2 469 59 25
16000 or more 1 579 82 88

Suppose a family is chosen. Find the probability that the family chosen is
(i) earning ₹10000 – 13000 per month and owning exactly 2 vehicles.
(ii) earning ₹16000 or more per month and owning exactly 1 vehicle.
(iii) earning less than ₹7000 per month and does not own any vehicle.
(iv) earning ₹13000 – 16000 per month and owning more than 2 vehicles.
(v) owning not more than 1 vehicle. 

Answer – Total number of families = 2400

(i) Number of families earning ₹10000 –13000 per month and owning exactly 2 vehicles = 29
Probability of family earning ₹ 10000 – 13000 per month and owning exactly 2 vehicles = 29/2400

(ii) Number of families earning ₹16000 or more per month and owning exactly 1 vehicle = 579
Probability of family earning ₹ 16000 or more per month and owning exactly 1 vehicle = 579/2400

(iii) Number of families earning less than ₹7000 per month and does not own any vehicle = 10
Probability of family earning less than ₹ 7000 per month and does not own any vehicle = 10/2400 = 1/240

(iv) Number of families earning ₹13000-16000 per month and owning more than 2 vehicles = 25
Probability of family earning ₹ 13000 – 16000 per month and owning more than 2 vehicles = 25/2400 = 1/96

(v) Number of families owning not more than 1 vehicle = 10 + 160 + 0 + 305 + 1 + 535 + 2 + 469 + 1 + 579 = 2062
Probability of family owning not more than 1 vehicle = 2062/2400 = 1031/1200

6. Refer to Table 14.7, Chapter 14.
(i) Find the probability that a student obtained less than 20% in the mathematics test.
(ii) Find the probability that a student obtained marks 60 or above.

Answer –

Marks Number of students
0 – 20 7
20 – 30 10
30 – 40 10
40 – 50 20
50 – 60 20
60 – 70 15
70 – above 8
Total 90

Total number of students = 90

(i) Number of students that obtained less than 20% marks = 7
Probability of students that obtained less than 20% marks = 7/90

(ii) Number of students that obtained 60 marks or above = 15 + 8 = 23
Probability of students that obtained 60 marks or above = 23/90

7. To know the opinion of the students about the subject statistics, a survey of 200 students was conducted. The data is recorded in the following table.

Opinion Number of students
like 135
dislike 65

Find the probability that a student chosen at random
(i)
likes statistics,
(ii) does not like it.

Answer –
Total number of students = 135+65 = 200

(i) Number of students who like statistics = 135
Probability of students who like statistics = 135/200 = 27/40

(ii) Number of students who do not like statistics = 65
Probability of students who dislike statistics = 65/200 = 13/40

8. Refer to Q.2, Exercise 14.2. What is the empirical probability that an engineer lives:
(i) less than 7 km from her place of work?
(ii) more than or equal to 7 km from her place of work?
(iii) Within ½ km from her place of work?

Answer – The distance (in km) of 40 engineers from their residence to their place of work were found as follows:

5 3 10 20 25 11 13 7 12 31
19 10 12 17 18 11 32 17 16 2
7 9 7 8 3 5 12 15 18 3
12 14 2 9 6 15 15 7 6 12

Total numbers of engineers = 40

(i) Number of engineers living less than 7 km from their place of work = 9
Probability of an engineer who lives less than 7 km from their place of work = 9/40

(ii) Number of engineers living more than or equal to 7 km from their place of work = 40 – 9 = 31
Probability of an engineer who lives more than or equal to 7 km from their place of work = 31/40

(iii) Number of engineers living within ½ km from their place of work = 0
Probability of an engineer who lives within 1/2 km from their place of work = 0/40 = 0

9. Activity : Note the frequency of two-wheelers, three-wheelers and four-wheelers going past during a time interval, in front of your school gate. Find the probability that any one vehicle out of the total vehicles you have observed is a two-wheeler.

Answer – The question is an activity to be performed by the students.
Hence, perform the activity by yourself and note down your inference.

10. Activity : Ask all the students in your class to write a 3-digit number. Choose any student from the room at random. What is the probability that the number written by her/him is divisible by 3? Remember that a number is divisible by 3, if the sum of its digits is divisible by 3.

Answer – The question is an activity to be performed by the students.
Hence, perform the activity by yourself and note down your inference.

11. Eleven bags of wheat flour, each marked 5 kg, actually contained the following weights of flour (in kg):
4.97, 5.05, 5.08, 5.03, 5.00, 5.06, 5.08, 4.98, 5.04, 5.07, 5.00
Find the probability that any of these bags chosen at random contains more than 5 kg of flour.

Answer – Total number of bags present = 11
Number of bags containing more than 5 kg of flour = 7
Probability of a bag containing more than 5 kg of flour = 7/11

12. In Q.5, Exercise 14.2, you were asked to prepare a frequency distribution table, regarding the concentration of sulphur dioxide in the air in parts per million of a certain city for 30 days. Using this table, find the probability of the concentration of sulphur dioxide in the interval 0.12-0.16 on any of these days.The data obtained for 30 days is as follows:

0.03 0.08 0.08 0.09 0.04 0.17
0.16 0.05 0.02 0.06 0.18 0.20
0.11 0.08 0.12 0.13 0.22 0.07
0.08 0.01 0.10 0.06 0.09 0.18
0.11 0.07 0.05 0.07 0.01 0.04

Answer –
Total number of days in which the data was recorded = 30 days
Number of days in which sulphur dioxide was present in between the interval 0.12 – 0.16 = 2
Probability of the concentration of Sulphur dioxide in the interval 0.12 – 0.16 = 2/30 = 1/15

13. In Q.1, Exercise 14.2, you were asked to prepare a frequency distribution table regarding the blood groups of 30 students of a class. Use this table to determine the probability that a student of this class, selected at random, has blood group AB. The blood groups of 30 students of Class VIII are recorded as follows:
A, B, O, O, AB, O, A, O, B, A, O, B, A, O, O,
A, AB, O, A, A, O, O, AB, B, A, O, B, A, B, O.

Answer –
Total numbers of students = 30
Number of students having blood group AB = 3
Probability of students having blood group AB = (Number of students having blood group AB) / Total number of students = 3/30 = 1/10

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