Advertisements
Advertisements
Question
Two dice are thrown simultaneously 500 times. Each time the sum of two numbers appearing on their tops is noted and recorded as given in the following table:
Sum | Frequency |
2 | 14 |
3 | 30 |
4 | 42 |
5 | 55 |
6 | 72 |
7 | 75 |
8 | 70 |
9 | 53 |
10 | 46 |
11 | 28 |
12 | 15 |
If the dice are thrown once more, what is the probability of getting a sum
- 3?
- more than 10?
- less than or equal to 5?
- between 8 and 12?
Solution
Total number of times, when two dice are thrown simultaneously, n(S) = 500
i. Number of times of getting a sum 3,
n(E) = 30
∴ Probability of getting a sum 3 = `(n(E))/(n(S))`
= `30/500`
= `3/50`
= 0.06
Hence, the probability of getting a sum 3 is 0.06
ii. Number of times of getting a sum more than 10,
n(E1) = 28 + 15 = 43
∴ Probability of getting sum more than 10 = `(n(E_1))/(n(S))`
= `43/500`
= 0.086
Hence, the probability of getting a sum more than 10 is 0.086
iii. Number of times of getting a sum less than or equal to 5,
n(E2) = 55 + 42 + 30 + 14 = 141
∴ Probability of getting a sum less than or equal to 5 = `(n(E_2))/(n(S))`
= `141/500`
= 0.282
Hence, the probability of getting a sum less than or equal to 5 is 0.282.
iv. The number of times of getting a sum between 8 and 12,
n(E3) = 53 + 46 + 28 = 127
∴ Required probability = `(n(E_3))/(n(S))`
= `127/500`
= 0.254
Hence, the probability of getting a sum between 8 and 12 is 0.254.
APPEARS IN
RELATED QUESTIONS
A teacher wanted to analyse the performance of two sections of students in a mathematics test of 100 marks. Looking at their performances, she found that a few students got under 20 marks and a few got 70 marks or above. So she decided to group them into intervals of varying sizes as follows: 0 − 20, 20 − 30… 60 − 70, 70 − 100. Then she formed the following table:-
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 |
(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.
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 |
What is the empirical probability that an engineer lives:-
(i) less than 7 km from her place of work?What is the empirical probability that an engineer lives:
(ii) more than or equal to 7 km from her place of work?
(iii) within 1/2 km from her place of work?
Concentration of SO2 (in ppm) | Number of days (Frequency) |
0.00 − 0.04 | 4 |
0.04 − 0.08 | 9 |
0.08 − 0.12 | 9 |
0.12 − 0.16 | 2 |
0.16 − 0.20 | 4 |
0.20 − 0.24 | 2 |
Total | 30 |
The above frequency distribution table represents 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 blood groups of 30 students of class IX 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 |
(i) A
(ii) B
(iii) AB
(iv) O
Define a trial.
Define an event.
Define probability of an event.
80 bulbs are selected at random from a lot and their life time (in hrs) is recorded in the form of a frequency table given below:
Life time (in hours) | 300 | 500 | 700 | 900 | 1100 |
Frequency | 10 | 12 | 23 | 25 | 10 |
One bulb is selected at random from the lot. The probability that its life is 1150 hours, is
Two dice are thrown simultaneously 500 times. Each time the sum of two numbers appearing on their tops is noted and recorded as given in the following table:
Sum | Frequency |
2 | 14 |
3 | 30 |
4 | 42 |
5 | 55 |
6 | 72 |
7 | 75 |
8 | 70 |
9 | 53 |
10 | 46 |
11 | 28 |
12 | 15 |
If the dice are thrown once more, what is the probability of getting a sum between 8 and 12?
A recent survey found that the ages of workers in a factory is distributed as follows:
Age (in years) | 20 – 29 | 30 – 39 | 40 – 49 | 50 – 59 | 60 and above |
Number of workers | 38 | 27 | 86 | 46 | 3 |
If a person is selected at random, find the probability that the person is under 60 but over 39 years