We are given the following:
Each child must get at least 4 balloons and 1 pencil. We are tasked with finding how many ways we can distribute these items among the children while meeting these conditions.
For the Balloons: \[ \text{Each child gets 4 balloons. So, for 3 children: } 3 \times 4 = 12 \text{ balloons are given.} \] This leaves: \[ 15 - 12 = 3 \text{ balloons to be distributed.} \] Now, we use the formula for distributing \( n \) identical objects among \( r \) people/groups: \[ \binom{n+r-1}{r-1} \] Here, \( n = 3 \) (remaining balloons) and \( r = 3 \) (children). The number of ways to distribute 3 identical balloons among 3 children is: \[ \binom{3+3-1}{3-1} = \binom{5}{2} = \frac{5!}{2!3!} = 10 \]
For the Pencils: \[ \text{Each child gets 1 pencil. So, for 3 children: } 3 \times 1 = 3 \text{ pencils are given.} \] This leaves: \[ 6 - 3 = 3 \text{ pencils to be distributed.} \] Again, using the same formula, for \( n = 3 \) pencils and \( r = 3 \) children, the number of ways to distribute 3 identical pencils among 3 children is: \[ \binom{5}{2} = 10 \]
For the Erasers: \[ \text{There are 3 identical erasers and 3 children. The number of ways to distribute 3 identical erasers among 3 children is:} \] Using the formula for \( n = 3 \) erasers and \( r = 3 \) children: \[ \binom{5}{2} = 10 \]
The total number of ways to distribute the items is the product of all the individual ways: \[ \text{Total} = 10 \times 10 \times 10 = 1000 \]
There are \( \boxed{1000} \) ways to distribute the items among the children while satisfying the given conditions.
We are given:
These are to be distributed among 3 children such that:
Give each child 4 balloons and 1 pencil:
Total balloons given = \( 3 \times 4 = 12 \)
Total pencils given = \( 3 \times 1 = 3 \)
We now need to distribute 3 identical balloons, 3 identical pencils, and 3 identical erasers among 3 children with no restriction.
The number of ways to distribute \( n \) identical items among \( r \) distinct recipients is given by: \[ \binom{n + r - 1}{r - 1} \] So, for each type: \[ \binom{3 + 3 - 1}{3 - 1} = \binom{5}{2} = 10 \text{ ways} \]
Since the distributions are independent, total number of ways: \[ 10 \times 10 \times 10 = \boxed{1000} \]
If A is any event associated with sample space and if E1, E2, E3 are mutually exclusive and exhaustive events. Then which of the following are true?
(A) \(P(A) = P(E_1)P(E_1|A) + P(E_2)P(E_2|A) + P(E_3)P(E_3|A)\)
(B) \(P(A) = P(A|E_1)P(E_1) + P(A|E_2)P(E_2) + P(A|E_3)P(E_3)\)
(C) \(P(E_i|A) = \frac{P(A|E_i)P(E_i)}{\sum_{j=1}^{3} P(A|E_j)P(E_j)}, \; i=1,2,3\)
(D) \(P(A|E_i) = \frac{P(E_i|A)P(E_i)}{\sum_{j=1}^{3} P(E_i|A)P(E_j)}, \; i=1,2,3\)
Choose the correct answer from the options given below:
When $10^{100}$ is divided by 7, the remainder is ?