Probability
1. A coin is tossed 1000 times with the following frequencies:
Head: 455, Tail: 545 compute the probability for each event.
Head: 455, Tail: 545 compute the probability for each event.
2. Two coins are tossed simultaneously 500 times, and we get- Two heads: 105 times,
One head: 275 times, No head: 120 times, find the probability of occurrence of each of these events.
One head: 275 times, No head: 120 times, find the probability of occurrence of each of these events.
3. A die is thrown 1000 times with the frequencies for the outcome 1, 2, 3, 4, 5 and 6 as given in the following table:
Outcome | 1 | 2 | 3 | 4 | 5 | 6 |
Frequency | 179 | 150 | 157 | 149 | 1175 | 190 |
Find the probability of getting each outcome.
4. The record of a weather station shows that out of the past 250 consecutive days, its weather forecasts were correct 175 times.
(i) What is the probability that on a given day it was correct?
(ii) What is the probability that it was not correct on a given day?
(i) What is the probability that on a given day it was correct?
(ii) What is the probability that it was not correct on a given day?
5. The percentage (%) of the marks obtained by a student in the monthly unit test are given below:
Unit test | I | II | III | IV | V |
Percentage (%) of the marks obtained | 69 | 71 | 73 | 68 | 74 |
Based on this data, find the probability that the student gets more than 70% marks in a unit test.
6. An insurance company selected 2000 drivers at random (i.e. without any preference of one driver over another) in a particular city to find a relationship between age and accidents. The data obtained are given in the following table:
Age of drivers (in years | Accidents in one year | ||||
0 | 1 | 2 | 3 | Over 3 | |
18-29 | 440 | 160 | 110 | 61 | 35 |
30-50 | 505 | 125 | 60 | 22 | 18 |
Above 50 | 360 | 45 | 35 | 15 | 9 |
Find the probabilities of the following events for a driver chosen at random from the city:
(i) Being 18-29 years of age and having exactly 3 accidents in one year.
(ii) Being 30-50 years of age and having one or more accidents in a year.
(iii) Having no accidents in one year.
(i) Being 18-29 years of age and having exactly 3 accidents in one year.
(ii) Being 30-50 years of age and having one or more accidents in a year.
(iii) Having no accidents in one year.
7. 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.
8. 1500 families with 2 children were selected randomly, and the following data were recorded:
Numbers 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.
(i) 2 girls
(ii) 1 girl
(iii) No girl.
9. 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.
10. An organization selected 2400families 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 in come (in Rs) | 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 Rs 10000-13000 per month and owing exactly 2 vehicles.
(ii) Earning Rs 16000 or more per month and owning exactly 1 vehicle.
(iii) Earning less than Rs 7000 per month and does not own any vehicle.
(iv) Earning Rs 13000-16000 per month and owning more than 2 vehicles.
(v) Owning not more than 1 vehicle.
11. Eleven bags of wheat flour, each marked 5 kg, actually contained 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.
(i) Earning Rs 10000-13000 per month and owing exactly 2 vehicles.
(ii) Earning Rs 16000 or more per month and owning exactly 1 vehicle.
(iii) Earning less than Rs 7000 per month and does not own any vehicle.
(iv) Earning Rs 13000-16000 per month and owning more than 2 vehicles.
(v) Owning not more than 1 vehicle.
11. Eleven bags of wheat flour, each marked 5 kg, actually contained 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.
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