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
(0 2 girls (ii) 1 girl (iii) No girl.
Also check whether the sum of these probabilities is 1.
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 |
71 |
28 |
If the three coins are simultaneously tossed again, compute the probability of 2 heads coming up.
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 |
Vehicles per family |
|||
(in र) |
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  र 10000–13000 per month and owning exactly 2 vehicles.
(ii) earning र 16000 or more per month and owning exactly l vehicle.
(iii) earning less than र 7000 per month and does not own any vehicle.
(iv) earning र 13000–16000 per month and owning more than 2 vehicles.
(v)Â owning not more than I vehicle.
Marks (out of 100) |
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 |
(i) Â Find the probability that a student obtained less than 20% in the mathematics test.
(ii) Â Find the probability that a student obtained marks 60 or above.
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 dislike |
135 65 |
Find the probability that a student chosen at random
(i) Â likes statistics,
(ii) Â does not like it.
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  km from her place of work?
Total number of female engineers = 40
(i) Number of female engineers whose distance (in km) from their residence to their place of work is less than 7 km = 9.
∴ Probability that an engineer lives less than 7 km from her plae of work =Â
(ii) Number of female engineers whose distance (in km) from their residence to their place of work is more than or equal to 7 km = 31.
∴Probability that an engineer lives more than or equal to 7 km from her place of residence Â
Aliter: Probability that an engineer lives more than or equal to 7 km from her place of residence = 1 – probability that an engineer lives less than 7 km from her place of workÂ
(iii) Number of female engineers whose distance (in km) from their residence to their place of work is withinÂ
 Probablity  that an engineer lives within  km from her place of work =Â