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Solution:
Total number of days = 5 (Tuesday, Wednesday, Thursday, Friday, Saturday)
Shyam can visit the shop in any of the 5 days.
Ekta can visit the shop in any of the 5 days.
So, total number of outcomes = (5 × 5) = 25
(i) Probability that both will visit the shop on the same day P(E);
They both will visit the shop either on Tuesday or Wednesday or Thursday or Friday or Saturday.
P(E) = 5 / 25 = 1 / 5
(ii) Probability that both will visit the shop on consecutive days P(E);
Consecutive means the following day.
So, they may visit the shop in following days; (T, W), (W, TH), (TH, F), (F, S), (W, T), (TH, W), (F, TH), (S, F)
They can visit the shop in 8 ways.
P(E) = 8 / 25
(iii) Probability that both will visit the shop on different days P(E);
We know that, P(E) + P(Ē) = 1
i.e.. Probability of visiting the shop in same day + Probability of visiting the shop in different days = 1
Probability of visiting the shop in same day P(E) = 1/ 5
Therefore, Probability that both will visit the shop on different days P(Ē) = 1 - P(E)
= 1 - (1) / 5
= 4 / 5
+ | 1 | 2 | 2 | 3 | 3 | 6 |
1 | 2 | 3 | 3 | 4 | 4 | 7 |
2 | 3 | 4 | 4 | 5 | 5 | 8 |
2 | 5 | |||||
3 | ||||||
3 | 5 | 9 | ||||
6 | 7 | 8 | 8 | 9 | 9 | 12 |
Solution:
The given table can be completed as below.
+ | 1 | 2 | 2 | 3 | 3 | 6 |
1 | 2 | 3 | 3 | 4 | 4 | 7 |
2 | 3 | 4 | 4 | 5 | 5 | 8 |
2 | 3 | 4 | 4 | 5 | 5 | 8 |
3 | 4 | 5 | 5 | 6 | 6 | 9 |
3 | 4 | 5 | 5 | 6 | 6 | 9 |
6 | 7 | 8 | 8 | 9 | 9 | 12 |
Two dice have been thrown. So the total number of outcomes = (6 × 6) = 36
(i) Probability that the total score is even P(E);
From, the above table, below are the throws in which the total score is even; (1, 1), (1, 3), (1, 3), (2, 2), (2, 2), (6, 2), (2, 2), (2, 2), (6, 2), (1, 3), (3, 3), (3, 3), (1, 3), (3, 3), (3, 3), (2, 6), (2, 6), (6, 6)
Total number of throws, in which the total score is even = 18
P(E) = 18 / 36 = 1/ 2
(ii) Probability that the total score is 6 P(E);
Events that produce total score of 6 = (3, 3), (3, 3), (3, 3), (3, 3)
Total number of throws, in which the total score is 6 = 4
P(E) = 4 / 36 = 1/ 9
(iii) Probability that the total score is atleast 6 P(E);
At least means that greater than or equal to 6 (>=).
Events that produce total score of 6 = (1, 6), (2, 6), (2, 6), (3, 3), (3, 3), (3, 6), (3, 3), (3, 3), (3, 6), (6, 1), (6, 2), (6, 2), (6, 3), (6, 3), (6, 6)
Total number of throws, in which the total score is atleast 6 = 15
P(E) = 15 / 36 = 5 / 12
Solution:
Total number of red balls = 5
Total number of blue balls = ?
Let, the total number of blue balls be = x
Then the total number of balls in the bag (both red and blue) = (5 + x)
Probability of drawing a red ball P(E) = 5 / (5 + x)
Probability of drawing a blue ball P(E) = x / (5 + x)
Given that, probability of drawing a blue ball is double that of a red ball;
(x / (5 + x)) = 2(5 / (5 + x))
=> x / (5 + x) = 10 / (5 + x)
=> 5x + x2 = 50 + 10x
=> x2 + 5x - 10x - 50 = 0
=> x2 - 5x + 50 = 0
=> (× - 10) (x + 5) = 0
Therefore,
x - 10 = 0 , x = 10
x + 5 = 0 , x = -5
As, the probability cannot be negative (probability lies between 0 to 1);
the x will be 10.
Total number of blue balls in the bag = 10.
Solution:
The box contains = 12 balls
Number of black balls = x
Other balls = (12 - x)
Probability that the ball drawn will be a black ball P(E);
P(E) = x / 12
After adding 6 more balls,
Now, total number of balls = 12 + 6 = 18
total black balls in the bag = (6 + x)
Probability of drawing a black ball is now double of what it was before
Probability of drawing a black ball = (6 + x) / 18
=> (6 + x) / 18 = 2 (x / 12)
=> 12 ( 6 + x ) = 18 ( 2x )
=> 2 ( 6 + x ) = 3 ( 2x )
=> 12 + 2x = 6x
=> 12 = 6x - 2x
=> 12 = 4x
=> 3 = x
Number of black balls = 3
Solution:
Jar contains - 24 marbles
Let the number of green marbles be = x
Probability of drawing a green marble;
P(E) = 2 / 3
i.e. x / 24 = 2 / 3
=> 3x = 48
=> x = 16
Therefore, the number of blue marbles in the jar = 24 - 16 = 8
Exercise 15.2 of NCERT Class 10 Chapter 15 on Probability focuses on calculating probabilities in various scenarios. It covers concepts such as simple probability, probability of compound events, and conditional probability. The problems involve everyday objects like coins, dice, cards, and marbles, making the concepts relatable and easy to understand. Students are required to apply the fundamental principle of probability: the number of favorable outcomes divided by the total number of possible outcomes.