Let the probability of success be \( P(S) \) and the probability of failure be \( P(F) \).
According to the given information, the probability of success is twice the probability of failure, so: \[ P(S) = 2P(F) \] Since the total probability is 1, we can express this as: \[ P(S) + P(F) = 1 \]
Substituting \( P(S) = 2P(F) \) into the equation: \[ 2P(F) + P(F) = 1 \implies 3P(F) = 1 \implies P(F) = \frac{1}{3} \] Thus, \( P(S) = 2 \times \frac{1}{3} = \frac{2}{3} \).
Now, the probability of at most two failures in six trials is the sum of the probabilities of having 0, 1, or 2 failures.
This is a binomial probability problem, so we use the binomial distribution formula: \[ P(k \text{ failures}) = \binom{n}{k} P(F)^k P(S)^{n-k} \] For \( n = 6 \) trials, the probability of at most two failures is: \[ P(X \leq 2) = P(X = 0) + P(X = 1) + P(X = 2) \]
We calculate each term:
1. \( P(X = 0) = \binom{6}{0} \left( \frac{1}{3} \right)^0 \left( \frac{2}{3} \right)^6 = 1 \times 1 \times \left( \frac{2}{3} \right)^6 = \frac{64}{729} \)
2. \( P(X = 1) = \binom{6}{1} \left( \frac{1}{3} \right)^1 \left( \frac{2}{3} \right)^5 = 6 \times \frac{1}{3} \times \left( \frac{32}{243} \right) = \frac{192}{729} \)
3. \( P(X = 2) = \binom{6}{2} \left( \frac{1}{3} \right)^2 \left( \frac{2}{3} \right)^4 = 15 \times \frac{1}{9} \times \left( \frac{16}{81} \right) = \frac{240}{729} \)
Thus, the total probability of at most two failures is: \[ P(X \leq 2) = \frac{64}{729} + \frac{192}{729} + \frac{240}{729} = \frac{496}{729} \]
Let the probability of success be \( p \) and the probability of failure be \( q \). We know:
Substituting the first equation into the second, we have:
\( 2q + q = 1 \\ 3q = 1 \\ q = \frac{1}{3} \)
Thus, the probability of success, \( p \), is:
\( p = 2q = 2 \times \frac{1}{3} = \frac{2}{3} \)
In six trials, we need the probability of at most 2 failures. Denote this as \( P(X \leq 2) \) where \( X \) is the number of failures, which follows a binomial distribution \( X \sim \text{Binomial}(n=6, q=\frac{1}{3}) \).
The probability \( P(X \leq 2) \) is:
\( P(X = 0) + P(X = 1) + P(X = 2) \)
Using the binomial probability formula:
\( P(X = k) = \binom{n}{k} (q)^k (p)^{n-k} \)
Calculate each:
Add them up:
\( P(X \leq 2) = \frac{64}{729} + \frac{192}{729} + \frac{240}{729} = \frac{496}{729} \)
Thus, the probability of at most two failures is 496/729.
A shop selling electronic items sells smartphones of only three reputed companies A, B, and C because chances of their manufacturing a defective smartphone are only 5%, 4%, and 2% respectively. In his inventory, he has 25% smartphones from company A, 35% smartphones from company B, and 40% smartphones from company C.
A person buys a smartphone from this shop
A shop selling electronic items sells smartphones of only three reputed companies A, B, and C because chances of their manufacturing a defective smartphone are only 5%, 4%, and 2% respectively. In his inventory, he has 25% smartphones from company A, 35% smartphones from company B, and 40% smartphones from company C.
A person buys a smartphone from this shop
(i) Find the probability that it was defective.
A solid cylinder of mass 2 kg and radius 0.2 m is rotating about its own axis without friction with angular velocity 5 rad/s. A particle of mass 1 kg moving with a velocity of 5 m/s strikes the cylinder and sticks to it as shown in figure.
The angular velocity of the system after the particle sticks to it will be: